Machine Learning Model for Chronic Disease Prediction

Raza Nowrozy*

Raza Nowrozy*

Volume4-Issue12
Dates: Received: 2023-10-09 | Accepted: 2023-12-27 | Published: 2023-12-31
Pages: 1738-1744

Abstract

Chronic diseases are a class of illnesses with complex etiologies, long-lasting or persistent symptoms, and are frequently referred to as chronic non communicable diseases. The most significant public health issues in the world are the leading chronic diseases, which include heart disease, cancer, chronic obstructive pulmonary disease, stroke, and diabetes. Both developed and developing nations experience significant health and financial costs as a result of these diseases. Some risk behaviours, such as tobacco use, poor nutrition, and excessive alcohol consumption, are the root cause of many chronic diseases. The various schemes are designed for the chronic disease prediction. The machine learning models for the chronic disease prediction is analysed in terms of certain parameters.

FullText HTML FullText PDF DOI: 10.37871/jbres1859

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How to cite this article

Nowrozy R. Machine Learning Model for Chronic Disease Prediction. J Biomed Res Environ Sci. 2023 Dec 31; 4(12): 1738-1744. doi: 10.37871/jbres1859, Article ID: JBRES1859, Available at: https://www.jelsciences.com/articles/jbres1859.pdf

Subject area(s)

Dermatology

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