Artificial Flora Algorithm-Based Feature Selection with Gradient Boosted Tree Model for Diabetes Classification

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. Three different datasets are used to develop a novel medical data...

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Veröffentlicht in:	Diabetes, metabolic syndrome and obesity Jg. 14; S. 2789 - 2806
Hauptverfasser:	P, Nagaraj, P, Deepalakshmi, Mansour, Romany F, Almazroa, Ahmed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New Zealand Dove Medical Press Limited 01.01.2021 Taylor & Francis Ltd Dove Dove Medical Press
Schlagworte:	Accuracy Algorithms Analysis artificial flora Artificial intelligence Classification Comparative analysis Data mining Datasets Decision trees Diabetes Diagnosis Discriminant analysis Electronic health records Feature selection gbt Genetic algorithms Gestational diabetes Hypoglycemic agents Medical advice systems Medical records Optimization Original Research Patients Support vector machines Type 2 diabetes India GBT artificial flora classification diabetes feature selection
ISSN:	1178-7007, 1178-7007
Online-Zugang:	Volltext
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