Year: 2025
Type: article
Abstract: Diabetes is a long-term health condition where the body struggles to control blood sugar levels.Early detection is very important to prevent serious health issues like heart disease and kidney failure.This research uses machine learning to develop a diabetes prediction model using patient health data such as glucose levels, BMI, insulin levels, and blood pressure.The model is trained and tested using algorithms like Support Vector Machines (SVM), Random Forest, and Neural Networks.The trained model is saved and making it easy to use for quick predictions.The study evaluates model performance using accuracy, precision, recall, and F1-score.Results show that machine learning can help doctors detect diabetes early and make better treatment decisions.
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4409061212