Selection of data analytic techniques by using fuzzy AHP TOPSIS from a healthcare perspective.

ABSTRACT: The healthcare industry has been put to test the need to manage enormous amounts of data provided by various sources, which are renowned for providing enormous quantities of heterogeneous information. The data are collected and analyzed with different Data Analytic (DA) and machine learning algorithm approaches. Researchers, scientists, and industrialists must manage or select the best approach associated with DA in healthcare. This scientific study is based on decision analysis between the DA factors and alternatives. The information affects the whole system in a rational manner. This information is very important in healthcare sector for appropriate prediction and analysis. The evaluation discusses its benefits and presents an analytic framework. The Fuzzy Analytic Hierarchy Process (Fuz

SUBMITTER: Alharbi A 

PROVIDER: S-EPMC11368004 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature