International Journal of Multidisciplinary Research and Growth Evaluation  |  ISSN (Online): 2582-7138  |  Double-Blind Peer Review  |  Open Access  |  CC BY 4.0

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     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN (Online): 2582-7138 | Open Access

Predictive Analytics in Personalized Medicine: Early Detection of Chronic Diseases through Artificial Intelligence

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Volume: 2 | Issue: 6 | Pages: 462-468

Subject: Computer Science

Country: Nigeria

License: CC BY 4.0

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Abstract

Chronic diseases such as diabetes, cardiovascular conditions, cancer, and chronic kidney disease are the leading causes of death and disability worldwide. Despite their often-slow progression, these conditions are typically diagnosed at later stages, reducing the effectiveness of interventions and increasing healthcare costs. The rise of predictive analytics, powered by artificial intelligence (AI), provides an opportunity to change this narrative. By leveraging vast and complex datasets including electronic health records (EHRs), genomics, lifestyle data, and real-time biosensor inputs, AI models can identify subtle patterns indicative of disease onset long before clinical symptoms emerge. This study proposes and evaluates a comprehensive predictive analytics framework for the early detection of chronic diseases using multiple machine learning (ML) algorithms. Results from experimental evaluation using diverse, real-world datasets indicate that AI-based models offer high accuracy and interpretability, with some models predicting disease risk years in advance. The implementation of such systems in clinical workflows promises to shift healthcare paradigms from reactive treatment to proactive prevention, enabling personalized interventions that can save lives and reduce economic burden.

How to Cite This Article

Sufia Kamal, Zerin Khan, Nipun Karim (2021). Predictive Analytics in Personalized Medicine: Early Detection of Chronic Diseases through Artificial Intelligence . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 2(6), 462-468.

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Publication Information

Journal: International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE)

Publisher: Anfo Publication House

ISSN: 2582-7138 (Online)

Frequency: Bimonthly

Language: English

Open Access: Yes - This article is distributed under the terms of the Creative Commons Attribution 4.0 International License

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