Year: 2024
Type: conference-paper
Abstract: Diabetes is not only a hassle; it is one of the fast-growing ailments worldwide. Early detection and treatment are therefore, highly important in order to save lives and avoid complications later on. In the course of this study, we mentioned the potentiality of machine learning (ML) toward the prediction of diabetes. Four different ML techniques, namely Logistic Regression, Decision Trees, Random Forest, and Support Vector Machine (SVM) were analysed while coding in Python. The idea was to find out, with the help of the Pima Indians Diabetes data collection, if diabetes was predictable.
Authors: Smita Bisht, Vivek Saxena, Dinesh Goyal, Himanshi Sharma
Institution: Poornima Institute of Engineering and Technology
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4413915901