Missing Value Imputation for Diabetes Prediction-Reference-Cited by-同舟云学术

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Missing Value Imputation for Diabetes Prediction

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
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Author:

Luo Fei¹,Qian Hangwei¹,Wang Di¹,Guo Xu¹,Sun Yan²,Lee Eng Sing³,Teong Hui Hwang⁴,Lai Ray Tian Rui⁴,Miao Chunyan¹

Affiliation:

1. Nanyang Technological University,Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly,Singapore

2. National Healthcare Group,Health Services & Outcomes Research Department,Singapore

3. National Healthcare Group Polyclinics,Singapore

4. Tan Tock Seng Hospital,Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892398.pdf?arnumber=9892398

Reference26 articles.

1. Simultaneous modeling of multiple complications for risk profiling in diabetes care;liu;ArXiv Preprint,2018

2. Machine Learning and Data Mining Methods in Diabetes Research

3. Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning

4. Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers

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2. Analysis of various data imputation techniques for diabetes classification on PIMA dataset;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

3. Deep learning based decision tree ensembles for incomplete medical datasets;Technology and Health Care;2024-01-05

4. Mimosa pudica Linn. extract improves aphrodisiac performance in diabetes-induced male Wister rats;Journal of Biomolecular Structure and Dynamics;2023-12-13

5. The Impact of Training Data Shortfalls on Safety of AI-Based Clinical Decision Support Systems;Lecture Notes in Computer Science;2023

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