Health Screening Analysis Using Machine Learning

Abstract

Diabetes Mellitus is a disease in which blood sugar levels rise due to the body's inability or inability to produce insulin. Factors such as age, sedentary lifestyle, genetic predisposition, poor nutrition and high blood pressure have caused the epidemic to become more common in affected people. The healthcare industry manages large data warehouses, making big data analytics an important tool for uncovering insights, identifying patterns, relationships, and predictive knowledge. This article introduces a diabetes testing model that uses machine learning algorithms to improve accurate classification. Explore various algorithms to determine the best classification model. The proposed model aims to facilitate the provision of medical services through early detection of individuals at risk. This study highlights the importance of advanced clinical screening to improve decision-making processes and improve patient outcomes.