Open AccessArtificial Flora Algorithm-Based Feature Selection with Gradient Boosted Tree Model for Diabetes Classification
Author(s) -
P. Nagaraj,
P. Deepalakshmi,
Romany F. Mansour,
Ahmed Almazroa
Publication year - 2021
Publication title -
diabetes, metabolic syndrome and obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.853
H-Index - 43
ISSN - 1178-7007
DOI - 10.2147/dmso.s312787
Subject(s) - artificial intelligence , medical diagnosis , feature selection , random forest , computer science , preprocessor , data pre processing , statistical classification , decision tree , machine learning , pattern recognition (psychology) , data mining , medicine , pathology
Classification of medical data is essential to determine diabetic treatment options; therefore, the objective of the study was to develop a model to classify the three diabetes type diagnoses according to multiple patient attributes.