Journal of Artificial Intelligence and Digital Health
Predictive Analytics
Predictive Analytics in healthcare uses statistical models, AI, and machine learning to forecast patient outcomes, disease risks, and treatment responses. By analyzing historical and real-time data, predictive tools help identify high-risk patients, prevent complications, and support early intervention. Hospitals use these models to predict patient admissions, readmissions, and resource needs. Predictive analytics also enhances chronic disease management, population health monitoring, and personalized medicine. By transforming raw data into actionable insights, these technologies improve clinical decision-making, reduce costs, and strengthen overall healthcare efficiency.
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DOAJ
CrossRef
PubMed
MEDLINE
ResearchBib
OAJI
Sindexs
EBSCO A-Z / Host
OCLC - WorldCat
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Journal Highlights
Artificial Intelligence in Healthcare
Machine Learning and Deep Learning
Medical Imaging and Diagnostics
Predictive Analytics
Digital Health Technologies
Telemedicine and mHealth
Wearable Devices and Remote Monitoring
Health Informatics and EHR
Big Data in Medicine
Robotics and Automation
AI in Drug Discovery
Healthcare Cybersecurity
Smart Hospital Systems
Clinical Decision Support Systems
Natural Language Processing
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