Stacking Classifier with Random Forest functioning as a Meta Classifier for Diabetes Diseases Classification-Reference-Cited by-同舟云学术

Stacking Classifier with Random Forest functioning as a Meta Classifier for Diabetes Diseases Classification

Published:2022 Issue: Volume:207 Page:3459-3468
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Ali Maria,Haider Muhammad Nasim,Lashari Saima Anwar,Sharif Wareesa,Khan Abdullah,Ramli Dzati Athiar

Publisher

Elsevier BV

Subject

General Engineering

Reference17 articles.

1. Data-mining technologies for diabetes: a systematic review;Marinov;Journal of diabetes science and technology,2011

2. Diagnosis of diabetes mellitus using k nearest neighbor algorithm;Saxena;International Journal of Computer Science Trends and Technology (IJCST),2014

3. Diagnosis of heart disease for diabetic patients using Naïve bayes method;Parthiban;International Journal of Computer Applications,2011

4. Diagnosis of pima indians diabetes by LDA-SVM approach: a survey;Parashar;Int. J. Eng. Res. Technol.(IJERT).,2014

5. Detecting and Predicting Diabetes Using Supervised Learning: An Approach towards Better Healthcare for Women;Rathore;International Journal of Advanced Research in Computer Science.15,2017

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