Journal of

Biomedical and Health Informatics

J-BHI publishes original papers describing recent advances in the field of biomedical and health informatics where information and communication technologies intersect with health, healthcare, life sciences and biomedicine.

Icon: Submit Your Manuscript

Submit Your Manuscript

Icon: Visit IEEE Xplore

JBHI on IEEE Xplore®

Icon: For Reviewers

Interested in Reviewing?

Icon: Call for Papers

Call for Papers

BHI 2023

Editor-in-Chief

Dimitrios I. Fotiadis

Professor Dimitrios I. Fotiadis

Dr. Fotiadis is Prof. of Biomedical Engineering and Director of the Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece. Dr Fotiadis is the founder of MEDLAB, which now is one of the leading centers in Europe in Biomedical Engineering with activities ranging from the development of health monitoring systems to big data management and multiscale modelling. The Unit is an active center for many R&D projects and is considered as a center of excellence for human tissues modelling activities with international collaborations with the research community, industry and public organizations. Dr Fotiadis is affiliated researcher of the Biomedical Research Dept. of the Institute of Molecular Biology and Biotechnology, FORTH, and member of the board of Michailideion Cardiac Center.

Read More

Highlights

0

Impact Factor

0

Eigenfactor

0

Article Influence Score

Updates

The IEEE Journal of Biomedical And Health Informatics Volume 27, Issue 1 has been published.

Get it on IEEExplore.org
Sensor Informatics 1430 715 Journal of Biomedical and Health Informatics (JBHI)

Sensor Informatics

In this issue, vol. 27, issue 4, April 2023, 15 papers are published related to the to the topic Sensor Informatics. Please click here to view them, with link in…

read more
Predicting Cardiovascular and Cerebrovascular Events Based on Instantaneous High-Order Singular Entropy and Deep Belief Network. 1267 629 Journal of Biomedical and Health Informatics (JBHI)

Predicting Cardiovascular and Cerebrovascular Events Based on Instantaneous High-Order Singular Entropy and Deep Belief Network.

Predicting Cardiovascular and Cerebrovascular Events Based on Instantaneous High-Order Singular Entropy and Deep Belief Network. Shao, Shiliang; Wang, Ting; Mumtaz, Asad; Song, Chunhe; Yao, Chen Most medical image segmentation models…

read more
Public Health Informatics 150 150 Journal of Biomedical and Health Informatics (JBHI)

Public Health Informatics

In this issue, vol. 27, issue 4, April 2023, 1 paper is published related to the to the topic Public Health Informatics. Please click here to view it, with link…

read more
Bioinformatics Informatics 150 150 Journal of Biomedical and Health Informatics (JBHI)

Bioinformatics Informatics

In this issue, vol. 27, issue 4, April 2023, 2 papers are published related to the to the topic Bioinformatics Informatics. Please click here to view them, with link in…

read more
Medical Informatics 150 150 Journal of Biomedical and Health Informatics (JBHI)

Medical Informatics

In this issue, vol. 27, issue 4, April 2023, 7 papers are published related to the to the topic Medical Informatics. Please click here to view them, with link in…

read more
Imaging Informatics 1125 563 Journal of Biomedical and Health Informatics (JBHI)

Imaging Informatics

In this issue, vol. 27, issue 4, April 2023, 11 papers are published related to the to the topic Imaging Informatics. Please click here to view them, with link in…

read more

Support Open Access Initiatives by Storing Datasets in IEEE DataPort™

IEEE DataPort is a great way to gain exposure for your research, serving as an easy-to-use and secure platform for data storage, and a way to ensure compliance with many funding agency open access requirements.

Join researchers around the globe who rely on IEEE DataPort to store, share, and manage their research data, by uploading your dataset today! This universally accessible, web-based portal accepts open access datasets up to 2TB. Currently, datasets can be uploaded to IEEE DataPort at no cost and each dataset is assigned a Digital Object Identifier (DOI).

Uploading datasets as open access helps both individuals and their institutions meet funding agency requirements and helps ensure compliance with data requirements. Right now, individuals can use the promotion code OPENACCESS1 to upload one open access dataset at no cost.

Upload Your Open Access Dataset

In addition, all IEEE DataPort users have the opportunity to freely access all open access datasets and are able to analyze and use them with proper citation.

Search Open Access Datasets Today

Search this website