Year: 2022
Type: article
Abstract: Machine Learning has a big impact on a lot of different scientific and technical disciplines, including medical research and Biophysics. Diabetes is a chronic condition marked by abnormally high glucose levels and the body's inefficient utilization of insulin. Diabetes is now becoming a leading cause of death all over the world. The objective of this article was to use multiple. Machine Learning methods are used to create a model with a limited number of dependencies, which could be used to study diabetic patients and diagnose diabetes using the PIMA dataset. Some of the most well-known prediction algorithms employed in this system are SVM (support vector machine), Multinomial Naive Bayes, Random forest, and Decision tree. Use these algorithms to construct a gathering of models by combining multiple combinations into one. This will enhance performance and accuracy.
Institution: Daffodil International University
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4226103003