AI-POWERED PREDICTIVE ANALYTICS IN HEALTHCARE: BRIDGING MEDICAL SCIENCE AND MACHINE LEARNING

Authors

  • Dr. Farhan Mehmood Department of Computer Science, Quaid-i-Azam University, Islamabad, Pakistan. Author

Keywords:

Predictive Analytics, Machine Learning, Clinical Decision Support, Healthcare Informatics

Abstract

The integration of artificial intelligence (AI) with predictive analytics has revolutionized modern healthcare systems, enhancing early diagnosis, risk assessment, and personalized treatment. This paper explores the synergy between machine learning models and medical science to create predictive tools that offer actionable insights for clinical decision-making. The study highlights various AI models, evaluates their performance in predicting chronic diseases, and underscores their role in improving healthcare outcomes, particularly in resource-constrained settings like Pakistan.

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Published

2023-04-06

Issue

Vol. 3 No. 2 (2023): Multidisciplinary Research in Computing Information Systems

Section

Articles

License

All articles published in the Multidisciplinary Research in Computing Information Systems are licensed under an open-access model. Authors retain full copyright and grant the journal the right of first publication. The content can be freely accessed, distributed, and reused for non-commercial purposes, provided proper citation is given to the original work.