The journal publishes research on the application of computational methods, particularly deep learning and hybrid models, for the analysis and detection of diseases, including retinal diseases, breast cancer, and chronic kidney disease. It also covers bioinformatics tools for proteomic analysis and degradomics, and the development of mobile health applications for patient care. Additionally, the journal explores gene clustering from microarray data using hybrid clustering frameworks.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Biomedical EngineeringQ4
Clinical BiochemistryQ4
Health InformaticsQ4
Health Information ManagementQ4
Medicine (miscellaneous)Q4
Subject Classification
Scopus Categories
Health Information ManagementClinical BiochemistryBiomedical EngineeringHealth InformaticsMedicine (miscellaneous)
Research Topics (OpenAlex)
Gene expression and cancer classificationMachine Learning in BioinformaticsBioinformatics and Genomic NetworksGenomics and Phylogenetic StudiesRNA and protein synthesis mechanismsComputational Drug Discovery MethodsArtificial Intelligence in HealthcareProtein Structure and DynamicsAI in cancer detectionAlgorithms and Data Compression