Ieee Journal of Biomedical and Health Informatics
Overview
The IEEE Journal of Biomedical and Health Informatics is a leading scholarly publication that focuses on the application of engineering principles and technology in the field of healthcare. It covers a wide range of topics including biomedical signal processing, medical imaging, health data analytics, and telemedicine. The journal aims to promote advancements in healthcare informatics, fostering innovation and improving patient care through the integration of technology and medicine.
Details
Details
Abbr.
IEEE J Biomed Health Inform
Start
2013
End
Continuing
Frequency
Six issues yearly
p-ISSN
2168-2194
e-ISSN
2168-2208
Country
United States
Language
English
Specialties
Biomedical Engineering
Medical Informatics
Medical Informatics
Metrics
Metrics
h-index / Ranks: 1303
156
SJR / Ranks: 1228
1964
CiteScore / Ranks: 967
11.90
JIF / Ranks: 736
7.7
Recent Articles
1.
Wang Y, Tang Y, Ma J, Chen Z, Cui C, Li M, et al.
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40085458
Immune thrombocytopenia (ITP) is a typically self-limiting and immune-mediated bleeding disorder in children. Approximately 20% of children with ITP experience chronicity, leading to reduced quality of life and increased treatment...
2.
Zhang Y, Wittrup E, Hodgman M, Mathis M, Najarian K
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40085457
The extensive adoption of artificial intelligence in clinical decision support systems requires greater model interpretability. Hence, we introduce EvolveFNN, an interpretable model based on the recurrent neural network that merges...
3.
Tang Z, Li J, Cheng J, Li Z, Zhang Z, Yan J
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40085456
Many pre-operative overall survival (OS) prediction methods have been proposed to assist personalized treatment of diffuse glioma for better prognosis. Most of them utilize pre-operative data, while post-operative data, which...
4.
Prakash A, Patro K, Ingle P, Pujari J, Routray S, Jhaveri R
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40072863
Breast cancer is the most prevalent cancer among women and poses a significant global health challenge due to its association with uncontrolled cell proliferation. Artificial intelligence (AI) integration into medical...
5.
Jebbari H, Cabon S, Pladys P, Carrault G, Poree F
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40072862
Monitoring sleep of premature infants is a vital aspect of clinical care, as it can reveal potential future pathologies and health issues. This study presents a novel approach to automatically...
6.
Zhang Y, Huang S, Hong M, Yang D
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40072861
Recent advancements in food image recognition have underscored its importance in dietary monitoring, which promotes a healthy lifestyle and aids in the prevention of diseases such as diabetes and obesity....
7.
Wang G, Chen H, Wang H, Gao H, Hu X, Cao C
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40067720
Artificial intelligence techniques play a pivotal role in the accurate identification of drug-drug interaction (DDI) events, thereby informing clinical decisions and treatment regimens. While existing DDI prediction models have made...
8.
Zhang Y, Wang J, Xing J, Chen X
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40067719
Predicting gene-disease associations is essential for understanding disease pathogenesis and determining therapeutic targets. While prior methods have integrated diverse biological information to make predictions, they still encounter several challenges. First,...
9.
Dogan A, Bishnoi A, Sowers R, Hernandez M
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40067718
Heart rate recovery (HRR) is a critical indicator of cardiovascular fitness and autonomic nervous system function, reflecting the balance between sympathetic and parasympathetic activity. Slower HRR is often linked to...
10.
Du Y, Chen J, Liu Z, Wong N, Zhang C, Ding Z, et al.
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40067717
Steady state visually evoked potential (SSVEP)-based brain-computer interfaces (BCIs), which are widely used in rehabilitation and disability assistance, can benefit from real-time emotion recognition to enhance human-machine interaction. However, the...