PE_DIM: An Efficient Probabilistic Ensemble Classification Algorithm for Diabetes Handling Class Imbalance Missing Values-Reference-Cited by-同舟云学术

PE_DIM: An Efficient Probabilistic Ensemble Classification Algorithm for Diabetes Handling Class Imbalance Missing Values

Published:2022 Issue: Volume:10 Page:107459-107476
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jia Liyan¹^ORCID,Wang Zhiping¹^ORCID,Lv Siqi¹^ORCID,Xu Zhaohui²^ORCID

Affiliation:

1. College of Science, Dalian Maritime University, Dalian, China

2. Clinical Laboratory Department, The First Affiliated Hospital of Dalian Medical University, Dalian, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09911625.pdf?arnumber=9911625

Reference61 articles.

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2. Comparison of statistical logistic regression and random forest machine learning techniques in predicting diabetes;daghistani;J Adv Inf Technol,2020

3. DMP_MI: An Effective Diabetes Mellitus Classification Algorithm on Imbalanced Data With Missing Values

4. Oversampling Techniques for Diabetes Classification: a Comparative Study

5. Missing value imputation: a review and analysis of the literature (2006–2017)

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