Building Risk Prediction Models for Type 2 Diabetes Using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Building Risk Prediction Models for Type 2 Diabetes Using Machine Learning Techniques

Published:2019-09-19 Issue: Volume:16 Page:
ISSN:1545-1151
Container-title:Preventing Chronic Disease
language:
Short-container-title:Prev. Chronic Dis.

Author:

Xie Zidian¹²,Nikolayeva Olga²,Luo Jiebo³,Li Dongmei¹

Affiliation:

1. Clinical and Translational Science Institute, University of Rochester School of Medicine and Dentistry, Rochester, New York

2. Goergen Institute of Data Sciences, University of Rochester, Rochester, New York

3. Department of Computer Science, University of Rochester, Rochester, New York

Publisher

Centers for Disease Control and Prevention (CDC)

Subject

Public Health, Environmental and Occupational Health,Health Policy

Cited by 68 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Meets Meta-Heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis;Bioengineering;2024-07-29

2. An investigation of machine learning algorithms and data augmentation techniques for diabetes diagnosis using class imbalanced BRFSS dataset;Healthcare Analytics;2024-06

3. Performance Analysis of Machine Learning Based On Optimized Feature Selection for Type II Diabetes Mellitus;Multimedia Tools and Applications;2024-03-27

4. A feature optimization study based on a diabetes risk questionnaire;Frontiers in Public Health;2024-02-23

5. Correlation analysis of diabetes based on Copula;Frontiers in Endocrinology;2024-02-14

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