This journal publishes research on the application of analytical methods and machine learning to healthcare data. Articles focus on developing and evaluating models for disease prediction, diagnosis, and risk assessment, as well as optimizing healthcare operations and patient safety. The scope includes the use of deep learning, explainable AI, and other advanced computational techniques for analyzing medical images, electronic health records, and other health-related information.
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Publication & Citation Trend
Articles published
Times cited
2019
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.
Analytical ChemistryQ1
Health InformaticsQ1
Subject Classification
Scopus Categories
Analytical ChemistryHealth Informatics
Research Topics (OpenAlex)
Artificial Intelligence in HealthcareCOVID-19 epidemiological studiesMachine Learning in HealthcareAI in cancer detectionMathematical and Theoretical Epidemiology and Ecology ModelsHealthcare Operations and Scheduling OptimizationCOVID-19 diagnosis using AIHealthcare Policy and ManagementBrain Tumor Detection and ClassificationRadiomics and Machine Learning in Medical Imaging