The objective of this research is to predict if the person has diabetes or not based on the certain diagnostic medical measurements. Few constraints were considered while picking up the data set, data ...

Altaher Taha, A. and Jameel Malebary, S. (2022) A Hybrid Meta-Classifier of Fuzzy Clustering and Logistic Regression for Diabetes Prediction. Computers, Materials & Continua, 71, 6089-6105.

The proposed model demonstrated the classification capabilities of the OGNB classifier with many machines learning classifiers, including Logistic regression, K-nearest neighbor, naive Bayes, Support ...

The American Association of Clinical Endocrinology announced the publication of the 2023 Comprehensive Type 2 Diabetes Management Algorithm, which provides concise guidance to assist healthcare ...

Machine learning outperforms traditional logistic regression and offers new possibilities for cardiovascular risk prediction: A study involving 143,043 Chinese patients with hypertension ...