Soft Clustering for Enhancing the Diagnosis of Chronic Diseases over Machine Learning Algorithms.

ABSTRACT: Chronic diseases represent a serious threat to public health across the world. It is estimated at about 60% of all deaths worldwide and approximately 43% of the global burden of chronic diseases. Thus, the analysis of the healthcare data has helped health officials, patients, and healthcare communities to perform early detection for those diseases. Extracting the patterns from healthcare data has helped the healthcare communities to obtain complete medical data for the purpose of diagnosis. The objective of the present research work is presented to improve the surveillance detection system for chronic diseases, which is used for the protection of people's lives. For this purpose, the proposed system has been developed to enhance the detection of chronic disease by using machine learning al

SUBMITTER: Aldhyani THH 

PROVIDER: S-EPMC7085388 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature