Journal of Biomedical Informatics
Overview
The Journal of Biomedical Informatics is a leading scholarly publication that focuses on the intersection of computer science, information technology, and healthcare. It publishes cutting-edge research and advancements in the field of biomedical informatics, including topics such as data mining, artificial intelligence, electronic health records, and clinical decision support systems. The journal serves as a platform for researchers, practitioners, and policymakers to exchange knowledge and promote the use of informatics in improving healthcare outcomes.
Details
Details
Abbr.
J Biomed Inform
Publisher
Elsevier
Start
2001
End
Continuing
Frequency
Bimonthly
p-ISSN
1532-0464
e-ISSN
1532-0480
Country
United States
Language
English
Specialty
Medical Informatics
Metrics
Metrics
h-index / Ranks: 1995
128
SJR / Ranks: 2982
1160
CiteScore / Ranks: 2159
8.20
JIF / Ranks: 1882
4.5
Recent Articles
1.
Wang X, Sun Z, Wang P, Wei B
J Biomed Inform
. 2025 Mar;
165:104793.
PMID: 40058479
Objective: Large Language models (LLMs) have a wide range of medical applications, especially in scenarios such as question-answering. However, existing models face the challenge of accurately assessing the quality of...
2.
Li S, Yan M, Yuan R, Liu M, Liu N, Hong C
J Biomed Inform
. 2025 Mar;
:104780.
PMID: 40054590
Objective: We propose FedIMPUTE, a communication-efficient federated learning (FL) based approach for missing value imputation (MVI). Our method enables multiple sites to collaboratively perform MVI in a privacy-preserving manner, addressing...
3.
Zhang Z, Li Y, Shin B
J Biomed Inform
. 2025 Mar;
164:104802.
PMID: 40049504
Medical image segmentation models often fail to generalize well to new datasets due to substantial variability in imaging conditions, anatomical differences, and patient demographics. Conventional domain generalization (DG) methods focus...
4.
Luo G, Shi N, Wang G, Tang B
J Biomed Inform
. 2025 Mar;
165:104806.
PMID: 40044019
Objective: As one of the most crucial upstream tasks in biomedical informatics, biomedical named entity normalization (BNEN) aims to map mentioned named entities to uniform standard identifiers or terms. Most...
5.
Xia X, Zhou S, Liu Y, Lin N, Overton I
J Biomed Inform
. 2025 Mar;
164:104803.
PMID: 40024422
Gene selection is crucial for cancer classification using microarray data. In the interests of improving cancer classification accuracy, in this paper, we developed a new wrapper method called ieGENES for...
6.
Tong Y, Tong J, Xia S, Zhou Q, Shen Y
J Biomed Inform
. 2025 Feb;
164:104792.
PMID: 40010480
Entity and relation extraction from Chinese electronic medical records (EMRs) is a crucial foundation for constructing medical knowledge graphs and supporting downstream tasks. Chinese EMRs face challenges in accurately extracting...
7.
Sebastian S, Roy S, Kalita J
J Biomed Inform
. 2025 Feb;
164:104797.
PMID: 39993589
Alzheimer's Disease (AD) is a complex neurodegenerative disorder affecting millions worldwide. Despite extensive research, the mechanisms behind AD remain elusive. Many studies suggest that disease-responsible genes often act as hub...
8.
Shen J, Zhang X, Tang Y, Zhang P, Yan Y, Ye P, et al.
J Biomed Inform
. 2025 Feb;
164:104798.
PMID: 39993588
Objective: In recent years, COVID-19 has placed enormous burdens on healthcare systems. Currently, hundreds of thousands of new cases are reported monthly. World Health Organization is managing COVID-19 as a...
9.
Wang M, Fan S, Li Y, Xie Z, Chen H
J Biomed Inform
. 2025 Feb;
164:104796.
PMID: 39988001
Background: Fusion of multi-modal data can improve the performance of deep learning models. However, missing modalities are common in medical data due to patient specificity, which is detrimental to the...
10.
Li H, Apathy N, Holmgren A, Holmgren A, Melnick E, McDougal R
J Biomed Inform
. 2025 Feb;
163:104805.
PMID: 39978430
Objective: To compare naive versus machine learning imputation strategies' efficacy for imputing missing data in EHR-vendor generated data, explore subgrouping criteria, and evaluate performance and feasibility for in-house implementation. Materials...