About the Journal of Medical Informatics and Decision Making
An open access, peer-reviewed platform advancing computational methods, algorithms, and data science innovations in health information systems, bioinformatics, and medical data analytics.
JMID welcomes original research contributions that advance computational approaches and algorithmic solutions across medical informatics and bioinformatics. Our scope emphasizes technical innovation, algorithmic development, and data-driven methodologies rather than clinical outcomes or patient care protocols.
Sequence analysis, structural prediction, molecular docking, phylogenetic algorithms, genome assembly, variant calling, and comparative genomics.
Supervised and unsupervised learning, deep learning architectures, neural networks, feature engineering, model validation, and algorithm benchmarking for health data.
Pattern recognition, clustering algorithms, association rule mining, predictive modeling, anomaly detection, and temporal data analysis in health datasets.
Image segmentation algorithms, feature extraction, computer vision techniques, 3D reconstruction, registration methods, and imaging informatics workflows.
Health information database architecture, query optimization, semantic web technologies, ontology development, data standardization, and interoperability frameworks.
Open-source tools, API design, pipeline frameworks, workflow management systems, visualization platforms, and reproducible research infrastructure.
Text mining algorithms, entity recognition, information extraction, sentiment analysis, and automated coding systems for medical literature and EHR narratives.
Statistical computing, dimensionality reduction, ensemble methods, cross-validation strategies, performance metrics, and computational reproducibility frameworks.
JMID accepts diverse manuscript formats that advance computational health informatics. All submissions undergo rigorous peer review to ensure methodological soundness and reproducibility.
JMID streamlines manuscript submission through the Online Manuscript Submission System. Authors may also email submissions directly to [email protected].
- Manuscript addresses computational methods, algorithms, or data science innovations
- Methods section includes sufficient implementation detail for reproducibility
- Code and data availability statements are provided where applicable
- Figures clearly illustrate algorithmic workflows or computational results
- Performance metrics and validation approaches are documented
- Manuscript follows Instructions for Authors
JMID employs a single-blind peer review process where reviewers remain anonymous while authors are identified. Reviewers assess:
- Algorithmic novelty and technical contribution
- Methodological rigor and statistical validity
- Reproducibility through code/data sharing
- Performance benchmarking against existing methods
- Clarity of presentation and documentation quality
Authors typically receive initial decisions within 12-15 days. Accepted manuscripts are published online within 48 hours of final approval.
All JMID articles are published under Creative Commons Attribution 4.0 International (CC BY 4.0) license, enabling unrestricted reuse, distribution, and adaptation with proper attribution. Authors retain copyright while granting universal access rights.
JMID's editorial board comprises internationally recognized experts in bioinformatics, computational biology, health informatics, data science, and software engineering. Our editors ensure fair evaluation, maintain ethical publishing standards, and promote computational reproducibility.
- Specialized focus on computational methods and algorithmic innovation
- Rapid peer review with constructive technical feedback
- Open access ensuring maximum visibility and impact
- Code and data sharing policies promoting reproducibility
- Global editorial expertise across bioinformatics and health informatics
- Transparent policies aligned with international publishing standards
- Author-friendly licensing under CC BY 4.0
Advance Computational Health Informatics
Submit your algorithms, software tools, and data science innovations to JMID. Join researchers worldwide pushing the boundaries of computational biology and health information systems.