open access

Journal of Artificial Intelligence and Digital Health

P e e r - R e v i e w e d  
Bi-Annual (Two issues per year)

ISSN: 3139-6267 (Online)
DOI Prefix (Crossref): 10.67238

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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English Publication Language
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17% Acceptance Rate
<18% Similarity Screening Guideline
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All manuscripts undergo editorial assessment and originality screening as part of the journal's evaluation process. The acceptance rate shown is based on journal-level editorial data and may change over time. Similarity reports are assessed editorially and are not interpreted solely on the basis of a numerical similarity score.

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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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