BHI 2019 Call for Papers
The IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) is the flagship conference of IEEE Engineering in Medicine and Biology Society (IEEE-EMBS) on the topics of informatics and computing in healthcare and life sciences. The theme of the BHI2019 is “Integrative informatics and modeling for precision and preventive medicine.”
IEEE-EMBS BHI2019 will be co-localized with IEEE-EMBS BSN2019 (2019 IEEE Body Sensor Network) at Dorin Forum, University of Illinois at Chicago, Chicago, IL, USA, during May 19-22, 2019. It will provide a unique forum to showcase enabling technologies of devices and sensors, hardware and software systems, predictive models, databases, and big data analytics that optimize the acquisition, transmission, processing, monitoring, storage, retrieval, analysis, visualization and interpretation of vast volumes of multi-modal biomedical data, as well as related social, behavior, environmental, and geographical data. It will also demonstrate the deployment of BHI informatics solutions that integrate key technologies including machine learning, artificial intelligence, Internet of Things (IoT), mHealth, e-Health, human computer interface, telemedicine, bioinformatics, sensors, imaging, and public health monitoring, to achieve patient-centric and outcome-driven effective health care. BHI2019 has the following 10 tracks: Bioinformatics; Imaging Informatics; Biomedical Signal Processing Informatics; Sensor Informatics; Behavioral Informatics; Big Data Analytics and Machine Learning; Clinical Informatics; Public Health Informatics; Precision Medicine Informatics; Disease Oriented Informatics.
BHI2019 will provide dedicated networking social events and special topics workshops to encourage BHI-2019 participants to exchange knowledge and insights, and to cultivate collaborations.
BHI2019 Key Dates
Dec 10 2018 Submission Deadline of Special Session and Workshop Proposals
Dec 17 2018 Acceptance Notification of Special Sessions and Workshops Proposals
Feb 4 2019 Submission Deadline of Regular Full-Length Papers (4 pages)
Feb 4 2019 Submission Deadline of Special Session Papers (4 pages or 1 page)
Feb 25 2019 Acceptance Notification of Full-Length and Special Session Papers
Mar 17 2019 Submission Deadline of 1-Page Extended Abstracts
Mar 25 2019 Acceptance Notification of 1-Page Extended Abstracts
Apr 1 2019 Submission Deadline of Camera-Ready Papers and Extended Abstracts
Apr 28 2019 Late-breaking abstract Submission
Suggested Accomodation at Student dorms
The dorm room rates are: $66/Single - $105/Double
James Stukel Towers http://housing.uic.edu/halls/jst/
718 West Rochford St., Chicago, Illinois 60607
Hotel reservations will be made through the conference registration site. This will be open on March 15th, 2019.
Initial Author Instructions
Author Registration
Each lead author must visit the EDAS web site and establish an account with a username and password.
Preparation of initial full paper
Prospective Authors are invited to submit a FULL PAPER of maximum 4 pages consisting of a complete description of the proposed technical content and applicable research results, using the online submission system. Each paper should indicate appropriateness for the scope of the Conference, originality and quality of the technical content, whole organization, and writing style. The paper should, moreover, explain the significance of the contribution and contain a list of key references. It must be prepared according to the paper preparation guidelines provided below. A submission implies willingness to register and present the work if the paper is accepted for presentation at the Conference.
Manuscripts will be reviewed by the Technical Program Committee. Authors of accepted initial full papers, must submit the final version according to the deadline of April 1, 2019, register for the Conference, and attend to present their papers. The length for final papers is maximum 4 pages without exceptions.
All accepted papers presented at the conference will be submitted for publication to IEEE Xplore.
For your convenience, the Style Manual and Conference Paper templates in various formats are available through the following links:
*Accepted Papers will be submitted for publication to IEEE Xplore and indexed by EI/Compendex
**Using the IEEE template is mandatory, and any variation from the IEEE template may lead to immediate rejection of your paper by the system.
Submission steps using EDAS Submission System
Please login to EDAS at https://edas.info/N25574 and follow the steps below:
Initial Full Paper is used to refer to the PDF form of your full paper. You can also upload the paper by clicking the My Papers tab at the top of the screen, and then select the upload icon on the same row as the name of your paper. The upload icon (third column from the right) will open a dialog box that will enable you to select and upload the full paper file via the web or via FTP.
Problems in preparing and submitting your paper? Further information?
Contact the BHI-BSN 2019 Conference Manager: Chris Dyer (cdyer@conferencecatalysts.com)
Initial Author Instructions
Author Registration
Each lead author must visit the EDAS web site and establish an account with a username and password.
Preparation of 1-Page Extended Abstracts
Prospective Authors are invited to submit 1-Page Extended Abstracts according to the deadline of March 17, 2019 using the online submission system. Each abstract should indicate appropriateness for the scope of the Conference, originality and quality of the technical content, whole organization, and writing style. The abstract should, moreover, explain the significance of the contribution and contain a list of key references. It must be prepared according to the template provided below. A submission implies willingness to register and present the work if the paper is accepted for presentation at the Conference. 1-Page Extended Abstracts will be reviewed by the Technical Program Committee.
For your convenience, the template for 1-Page Extended Abstracts is available through the following links:
*Using the IEEE template is mandatory, and any variation from the IEEE template may lead to immediate rejection of your paper by the system.
Submission steps using EDAS Submission System
Please login to EDAS at https://edas.info/N25574 and follow the steps below:
Problems in preparing and submitting your paper?
Further information?
Contact the BHI-BSN 2019 Conference Manager: Chris Dyer (cdyer@conferencecatalysts.com)
BHI 2019 Organizing Committee
| Conference Co-Chairs
Jie Liang, Univ of Illinois at Chicago, USA Dimitrios I. Fotiadis, JBHI EiC, Univ of Ioannina, Greece Technical Program Co-Chairs David Clifton, Univ of Oxford, UK Constantinos S. Pattichis, Univ of Cyprus, Cyprus Georgia Tourassi, Oak Ridge National Laboratory, USA Special Session Co-Chairs Wei Chen, Fudan Univ, China Edward Sazonov, Univ of Alabama, USA Workshop Co-Chairs Adam Hoover, Clemson Univ, USA Esteban Pino, Univ de Concepcion, Chile Rapid Fire Co-Chairs Misha Pavel, Northeastern Univ, USA Omer Inan, Georgia Tech, USA Financial Chair Yufei Huang, Univ of Texas at San Antonio, USA International Program Committee Chair Metin Akay, Univ of Houston, USA Women’s Activities Co-Chairs Maria Teresa Arrendondo, Univ Politécnica Madrid, Spain Holly Jimison, Northeastern Univ, USA Amy Wang, Univ of Alabama, USA Industrial Liaisson Julien Penders, Bloomlife, USA Steering Committee Guang-Zhong Yang, Chair, Imperial College London, UK May D. Wang, EMBS VP, Georgia Tech and Emory Univ, USA Stephen Wong, External Partnership, Houston Methodist, USA Andrew Laine, BHI-TC Chair, Columbia Univ, USA Benny Lo, BSN-TC Chair, Imperial College London, UK Student’s Activities Co-Chairs Subhamoy Mandal, DKFZ, Germany Ahmed Metwally, Stanford Univ, USA Conference Support Vassiliki Potsika, MedLab, Greece UIC Support Technical Program Committee Haider Abbas, National Univ of Sciences and Technology, Pakistan Nabil Alshurafa, Northwestern University, USA Amir Amini, Univ of Louisville, USA Andrew Boyd, Univ of Illinois at Chicago, USA Francesca Buffa, Univ of Oxford, UK Maria Fernanda Cabrera, Tech Univ of Madrid, Spain Paulo de Carvalho, Univ of Coimbra, Portugal Maggie Cheng, Illinois Institute of Technology, USA Yang Dai, Univ of Illinois at Chicago, USA Jessilyn Dunn, Stanford Univ, USA Bjoern Michael Eskofier , FAU, Germany Themis Exarchos, Unit of Med Tech & Intel Inf Syst, Greece Guoliang Fan, Oklahoma State Univ, USA Hassan Ghasemzadeh, Washington State Univ, USA Daniela Giordano, Univ of Catania, Italy Jackey Jiaqi Gong, Univ of Maryland, Baltimore County,USA Ming - Chun Huang, Case Western Reserve Univ, USA Omer T. Inan, Georgia Tech, USA Walter Karlen, ETH Zurich, Switzerland Shen Li, University of Pennsylvania, USA Yuan Luo, Northwestern Univ, USA Hammad Naveed, National Univ of Computer & Emerging Sciences, Pakistan Ranadip Pal, Texas Tech Univ, USA Andreas Panayides, Univ of Cyprus, Cyprus Misha Pavel, Northeastern Univ, USA Yang Shen, Texas A&M Univ, USA Ye Sun, Michigan Technology Univ, USA Toshiyo Tamura, Waseda Univ, Japan Jie Tian, Institute of Automation, CAS, China Thanasis Tsanas, Univ of Edinburgh, UK Vincent S. Tseng, National Cheng Kung Univ, Taiwan Maarten de Vos, Univ of Oxford, UK Amy Y. Wang, Univ of Alabama at Birmingham, USA David Wong, University of Leeds, UK Winston Wu, Pharmaco-Kinesis Corporation, USA Wenyao Xu, Univ at Buffalo, USA Hui Yang, Pennsylvania State Univ, USA Jinfeng Zhang, Florida State Univ, USA Yefeng Zheng, Siemens Corporate Research, USA Tingting Zhu, University of Oxford, UK Reyer Zwiggelaar, Aberystwyth Univ, UK BHI 2019 Local Committee Andrew Boyd, Univ of Illinois at Chicago |
The workshops will be held on Sunday, May 19th
Title: Workshop on Brain Network Analysis
Presenters: Maggie Cheng (Illinois Institute of Technology)
Overview: The workshop will focus on the study of brain networks. The topics of the workshop include both biomedical signal processing and big data analytics/machine learning, with a necessary addition in connectomics. The modelling, analysis and inference on brain activities from a complex network approach is complementary to the study of neuro-informatics. The workshop will solicit research presentations that address computational models and analytical tools, as well as the use of large-volume, high-dimensional experimental data. Both mathematical modelling and machine learning/artificial intelligence will be covered. The theme of the workshop is consistent with the theme of BHI-2019. It is relevant to two conference tracks, and yet not fully covered by any of the tracks. Therefore, it is necessary to propose a workshop specializing in brain network analysis.
Title: Women in the Biomedical Engineering Workforce: inspiring new leaders and professional development
Presenters: Maria Teresa Arredondo (Universidad Politécnica de Madrid); Holly Jimison (Northeastern University)
Overview: The goal of this workshop is to stimulate, through the view of different professionals in the Biomedical Engineering research arena, advancing women in the workplace. Women in biomedical and health informatics (BHI) face significant challenges in developing their careers, especially in leadership roles. A workshop focused on women’s career development provides important information and resources and helps build a community of women leaders and mentors to support professional growth of our future leaders. The intended audience includes women at all stages in their careers, from students to seasoned veterans, as well as anyone who wishes to mentor women in BHI.
Title: Data Analytics in HealthCare / Tutorial
Presenters: Themis Exarchos (Dept. of Informatics, Ionian University); Vasileios Pezoulas (Unit of Medical Technology and Intelligent Information Systems, Dept. of Materials Science and Engineering, University of Ioannina)
Overview: This workshop will present new trends on data analytics in healthcare, while it will discuss the significant challenges occurring when managing and analysing large amounts of data from different sources. Data curation, data harmonization, as well as, ethical, legal and related restrictions associated with the sharing and pooling of individual-level information will be also discussed. Current techniques, ranging from data standardization to advanced ontology and semantic interlinking technologies that enable the creation of semantic links among diverse datasets, will be presented. Additional emphasis will be given on distributed machine learning algorithms that deal with the analysis of data from disparate medical data sources. Several case studies will be highlighted related to the pooling, curation, harmonization and analysis of healthcare data. Considering that new technologies have not been holistically validated and evaluated yet, the present workshop will contribute positively to the adoption of new practices in data analytics in healthcare.
Title: Modelling in bioengineering and bioinformatics
Presenters: Nenad Filipovic (University of Kragujevac)
Overview: Today the treatment in the medicine still relies exclusively on diagnostic imaging data to define the present state of the patient, biomarkers and experience of the medical doctors to evaluate the efficacy of prior treatments for similar patients. Computational methods, big data analytics, machine learning, artificial intelligence, bioinformatics, give opportunity for a patient-specific model in order to improve the quality of prediction for the disease progression into life-threatening events that need to be treated accordingly. In this special Workshop authors will present with advanced research support tools for disease characterization, and the integrative informatics; associations among heterogeneous data, that can improve the predictive power of the patient specific model.
Presenters: Pangiotis D. Bamidis (Aristotle University of Thessaloniki); Christos A. Frantzidis (Aristotle University of Thessaloniki)
Overview: The workshop aims to present recent advances in the organization of clinical or pragmatic trials involving data acquisition of neurophysiological, biological, sensorial and behavioural data for enabling robust and early identification of sleep and sleep-related breathing disorders at early stages. It welcomes submissions that deal with the issue of multi-modal information fusion in order to result in integrative models capable of providing data regarding the daily activity levels of their users as well as sleep patterns, such as sleep duration, quality and efficiency. Development of sleep analytics derived by the combination of multi-modal fusion with deep learning methods has the potential to provide insight into yet unobserved facets of sleep enabling precision medicine. The workshop aims to provide insight into the following research questions:
• Organizational issues related with unobtrusive, continuous data acquisition outside laboratory/clinical settings.
• Integration of features derived from heterogeneous recording modalities (questionnaires, time-series, image and video analysis).
• Recent advances in precision sleep modelling and challenges towards precision medicine.
Title: Deep learning for computational genomics and drug response prediction / Tutorial
Presenters: Yufei Huang (The university of Texas at San Antonio); Yidong Chen (The university of Texas at San Antonio)
Overview: The advances and decreasing costs of genome sequencing and other high throughput technologies have led to the creation of large volumes of diverse datasets for biomedical research and drug discovery. This explosion of extensive genomic data provides exciting opportunities for developing machine learning and especially deep learning solutions for the discovery of new knowledge that can be used for better understanding of human pathological conditions and for the development of a more personalized, less toxic and more potent treatment regimen. In this tutorial, we propose to provide comprehensive survey for deep learning models developed for “omics” data and drug response prediction. The goal of the tutorial is to educate audiance about the basics of deep learning models, how deep learning can be applied to genomics data to address important biomedical resarch questions, and how deep learning advances the prediction of drug responses.
Title: Nonparametric Statistics in Omics Applications
Organizers: Ahmed A. Metwally (Stanford University); Alan Perez-Rathke (University of Illinois at Chicago)
Overview: With the rapidly increasing size and complexity of omics data sets, nonparametric methods are emerging as principal tools for biomedical analysis. Nonparametric statistics have the advantages of making minimal distributional assumptions and can scale to fit the complexity of the data. The purpose of this session is to highlight novel applications of nonparametric methods, such as nonparametric longitudinal analysis, bootstrapping, approximate Bayesian inference, and Dirichlet processes, towards omics and biomedical data.
Title: AI techniques for multi-modality medical big data
Organizers: Ye Li (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China), Raffaele Gravina (University of Calabria, Italy)
Overview: Artificial intelligence has been widely used in computer-aided diagnosis based on medical images in recent years, and also been applied for EMR big data analysis. With the development of wearable devices, which can monitor physiological signals continuously out of the hospitals, the fusion of physiological signals, EMRs and medical imaging will provide novel insights for medical data analysis. Compared with single-mode data mining, the method based on multi-modality medical data fusion can effectively mine the relationship between different medical data and improve the effect of assistant diagnosis. This special session will focus on AI techniques for multi-modality medical big data analysis, including but not limited to: data mining of EMRs, information fusion of EMRs, medical images, physiological data, and genomic data for diagnosis and early-warning of diseases.
Title: Genome Security & Privacy
Organizers: Gamze Gursoy (Yale University); Haixu Tang (Indiana University)
Overview: Data privacy is an important topic of debate crossing many different fields such as ethics, sociology, law, political science and forensic science. With decreasing cost of DNA sequencing technologies, the number and the size of the available genomic data have exponentially increased and become available to wider audiences. Hence, privacy of individuals’ genomic data has recently emerged as one of the major foci of studies on privacy as availability of genetic information gives rise to privacy concerns such that genetic predisposition to diseases may bias insurance companies or create unlawful discrimination by employers. Recently it has been also showed that not only DNA sequencing of individuals but also high throughput molecular phenotype datasets such as functional genomic and metabolomics measurements or even microbiome measurements, increased the number of quasi-identifiers for participating individuals can be used by adversaries for reidentification purposes. These results indicate that privacy concerns over sharing personalized biological data will increase quickly with the increase in the number of genetic and ancestry testing companies, which collect and distribute very large amount of health related data. These include genetic information (such as 23andme) or health and fitness tracking information (such as fitbit). The data collection and sharing methods that these companies use call for a public discussion of privacy considerations around these new concepts.
Title: Wearable Sensor Informatics for Cardiopulmonary Monitoring
Organizers: Inan Omer (Karla Institute of Technology); Jin-Oh Hahn (University of Maryland)
Overview: While wearable sensing for cardiopulmonary health is typically covered in standard sessions at BHI, there is a compelling need to bring the community together for a special session aimed at (1) elucidating some of recent scientific discoveries in the field; (2) familiarizing the community with new sensing technologies, materials, and analytics methodologies; and (3) understanding some of the emerging sensing modalities and signal processing/system analysis algorithms. We anticipate that bringing these speakers together to discuss the latest trends in their respective areas will lead to synergistic opportunities for collaboration, and will also result in productive and exciting conversations at BHI for future research opportunities.
Title: Internet of Things and Machine Learning for Health Informatics
Organizers: Wei Chen (Director of Centre for Intelligent Medical Electronics (CIME), Department of Electronic Engineering, School of Information Science and Technology, Fudan University); Benny Lo (Senior Lecturer - Hamlyn Centre, the Department of Surgery and Cancer Imperial College London)
Overview: <any challenges exit in health monitoring and management, such as continuous, accurate, and comfortable monitoring of multi-parameters, early detection and warning of diseases, as well as the interaction with environments. The challenges in healthcare raise health risks and imposes significant economic and social burden. Thus, seeking for the innovative solutions and new technologies to address these issues is very important. The development of modern sensors, Internet of Things, advanced materials, machine learning and data fusion technology has inspired the innovation on intelligent designs for healthcare.
Title: Decision-support computing by data-driven and AI-based approaches for healthcare
Organizers: Guillaume Bouleux (Univ Lyon, INSA-Lyon, DISP EA); Sondes Chaabane (University of Valenciennes, LAMIH, UPHF, Le Mont Houy)
Overview: The adoption of artificial intelligence (AI) in healthcare is on the rise and solving a variety of problems for patients, hospitals and healthcare industry overall. In this context, many sources of health data can be used, such as electronic health records (EHRs) or medico-administrative data. Recent studies have shown that secondary use of EHRs has enabled data-driven detection and prediction of abnormal paients flow at Emergency Department and some other works have yielded to the identification of certain pathologies through clustering approaches. Due to huge records at the Hospital, the prediction of patient pathway can also be tackled by deep learnig methods. All these methods concern the public health and try to imporove patient care by giving to pactitionners a web application or software to help in decision making.
Title: Medical Imaging Informatics - Advances and Trends
Organizers: Andreas Panayides (Department of Computer Science, University of Cyprus); Joel Saltz (Cherith Professor and Founding Chair, Department of Biomedical Informatics Vice President for Clinical Informatics, Stony Brook Medicine Associate Director, Stony Brook Cancer Center, Department of Biomedical Informatics)
Overview: Medical imaging informatics covers the application of information and communication technologies to medical imaging for the provision of healthcare services. Medical imaging informatics applications range from routine clinical practice to advanced human physiology and pathophysiology. This multi-disciplinary focus has evolved over the past 30 years offering a wide spectrum of medical imaging services and it has been originally defined by the Society for Imaging Informatics in Medicine (SIIM) as follows:
“Imaging informatics touches every aspect of the imaging chain from image creation and acquisition, to image distribution and management, to image storage and retrieval, to image processing, analysis and understanding, to image visualization and data navigation; to image interpretation, reporting, and communications. The field serves as the integrative catalyst for these processes and forms a bridge with imaging and other medical disciplines. Advances in artificial intelligence, machine learning and computer vision have played a major role in enabling advances in medical imaging informatics – the important role of these interdisciplinary efforts can be seen in the advent of conferences such as the SIIM sponsored Conference on Machine Intelligence in Medical Imaging.
The overall objective is that this distinct subspecialty according to SIIM will lead to improved efficiency, accuracy, and reliability of services within the medical enterprise. In the context of this emerging era prescribing the way towards precision medicine, linked with the expected technological advances in both fields, including cloud computing and big-data imaging, -omics and EHR analytics, dynamic workflows, context-awareness and visualization, mobile computing, and other.
Important Information
The Conference Proceedings will be included in the IEEE Interactive Electronic Library (IEL) as part of IEEE Xplore. All authors who have been accepted must register for the conference and attend the conference to present their paper. Authors who do not attend the conference to present their papers, or arrange for a co-author or knowledgeable colleague to present their paper in the absence of the primary author, will not have their paper published in the IEEE IEL and IEEE Xplore, per IEEE policy.
IEEE reserves the right to exclude a submission from distribution after the conference, including exclusion from IEEE Xplore, if the submission does not meet IEEE standards for scope and/or quality. Articles excluded from further distribution shall be archived by IEEE but shall not be indexed or appear on IEEE Xplore.
Accepted 4-Page Papers
Please read carefully the following information concerning the registration procedure that is presented in the Author Instructions, especially if you are the prospective presenter of an accepted paper or if you need to guarantee inclusion of your accepted paper in the proceedings. An accepted paper will be published in the proceedings only if the registration payment for one of the authors is received and correctly processed by 1 April 2019 - no exceptions. In addition, the author must attend the conference and present the paper. Papers that are not presented will not be published. No exceptions.
To qualify for member rates, the membership number must be provided in the registration form.
One author registration will cover the publication expenses of only TWO accepted papers. For each additional accepted paper associated to the same registration, you must pay the associated surcharge. In the case no registration has been received and correctly processed to cover the paper publication, the conference organizers will contact the authors before the paper is removed from the proceedings.
You will be required to enter your registration confirmation code in EDAS prior to uploading your paper. If you need to register by bank transfer, please contact Chris Dyer, BHI-BSN 2019 Registration Manager.
NO PAPER WILL BE PUBLISHED WITHOUT THE AUTHOR'S COMPLETED REGISTRATION AND PAYMENT.
2. Generate an IEEE Xplore compatible manuscript using PDF Xpress
All final manuscripts must be generated using the PDF Xpress tool.
To generate the IEEE Xplore compatible PDF file of your paper, follow these steps:
3. Upload your Xplore compatible PDF manuscript to EDAS
Specify the presenter and complete the presenter's biography form - Please declare who will be presenting the paper at the conference. Once in your paper record, click the Change/Add icon in the Presenter row. Indicate who will present the paper and click Choose presenter. Presenters must fill out a short bio (50 word max) on EDAS by going to the ‘My Profile’ tab and filling in the information in the ‘Brief bio’ field. Information in this form will be used by the session chairperson to introduce the presenter.
Complete the electronic copyright form via EDAS - IEEE is enforcing strict copyright rules. For your convenience, the copyright form is made available electronically through EDAS. To access the copyright form, select the icon in the copyright column within your paper record. *NO PAPER WILL BE PUBLISHED WITHOUT THE SUBMITTED COPYRIGHT FORM.
Upload your paper - Bypass the “Review Manuscript” option in your EDAS paper record and upload your paper directly to “Final Manuscript” by selecting the upload icon. Submissions are due by April 1, 2019.
IMPORTANT COPYRIGHT NOTICE FOR WEB AND INTERNET POSTING
If authors wish to post their papers electronically on any web site, any ftp site, or any other electronic dissemination technique, they must include the IEEE Copyright notice on the initial screen displaying the IEEE-copyrighted material.
Oral Presentations
The duration of a presentation slot is 15 minutes including questions from the audience.
A LCD projector & computer (Windows 10, MS Powerpoint & Adobe Acrobat Reader) will be available in every session room for regular presentations. Please bring your presentation on a USB, as well as email it to yourself so you have a backup.
Preparation of Visuals:
PLEASE NOTE THAT INDIVIDUALS USING COMPUTER PROJECTION MUST BRING A MEMORY STICK CONTAINING THEIR PRESENTATION. Files can be uploaded to the local PCs in the lecture rooms during the breaks before/between the session. To avoid software compatibility problems (MS Powerpoint), speakers are advised to bring a .ppt or .pptx or PDF-version of their presentation.
Speakers should arrive in their session room 15 minutes BEFORE the start of their session to report to the Session Chair. If you are presenting during a session which does not have a break before it, report to your presentation room 15 minutes prior to the session before yours.
Poster Presentations
Posters should be put up at least 4 hours prior to the poster session you are scheduled in. Authors are expected to attend the poster session as scheduled in the program.
The placement of your poster will be marked on the panel, where it will be presented with a poster number indicated in the Program. The maximum usable area is 45in x 45in.
Please include a 5 cm x 5 cm photo of the presenter in the upper right hand corner of the poster, and underline the name of the presenter in the author listing.
Push pins will be provided to affix posters to the poster panel.
Posters must be removed at the end of each poster session.
BHI Rapid Fire Instructions
All authors of POSTER PRESENTATIONS will have the opportunity to participate in a RAPID-FIRE SESSION the day of their poster presentation. If you would like to participate, you must upload your slides via EDAS through the PRESENTATION upload option by MAY 12. The presentation time is going to be strictly controlled so that the rapid-fire sessions can be finished in the allotted time and you need to follow these rules:
The BHI 2019 conference will be held May 19-22, 2019, in Chicago, IL. The goal of the BHI 2019 meeting is to present the best new research in all areas of biomedical and health informatics.
The BHI 2019 Program Committee recognizes that the results of some exciting research may not be available by the general abstract submission deadline. Therefore, we offer a call for late-breaking abstract submissions for abstracts that highlight up-to-date innovative research. The goal is to enrich the BHI conference with excellent work that are completed after the general submission deadline.
All abstract submissions must be made electronically through BHI’ss online abstract submission system. Those accepted will be presented as posters at the conference. The same submission rules apply to late-breaker abstracts and to regular abstracts. The late-breaking abstracts site opens on April 18, 2019, and the deadline for late-breaking abstract submission is April 28, 2019, at 11:59 p.m. PDT. A submission implies willingness to register and present the work if the abstract is accepted for presentation at the conference. Final selection of late-breaking abstracts will be made by the Technical Program Committee.
Notifications of acceptance or rejection of abstracts will be sent to the submitting author by April 29, 2019. Selected abstracts will be presented as poster presentations during the Poster Session on Tuesday, May 21st. It is the submitting author’s responsibility to inform all co-authors of the status of the abstract.