Machine learning techniques in healthcare informatics: Showcasing prediction of type 2 diabetes mellitus disease using lifestyle data-Reference-Cited by-同舟云学术

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Machine learning techniques in healthcare informatics: Showcasing prediction of type 2 diabetes mellitus disease using lifestyle data

Published:2022 Issue: Volume: Page:295-311
ISSN:
Container-title:Predictive Modeling in Biomedical Data Mining and Analysis
language:
Short-container-title:

Author:

Malik Majid Bashir,Ganie Shahid Mohammad,Arif Tasleem

Publisher

Elsevier

Reference40 articles.

1. Machine learning for health services researchers;Doupe;Value Health,2019

2. Machine Learning in Healthcare Informatics;Chowriappa,2014

3. Various platforms and machine learning techniques for big data analytics: a technological survey;Ganie;Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol.,2018

4. Beyond the hype: big data concepts, methods, and analytics;Gandomi;Int. J. Inf. Manag.,2015

5. Performance analysis and prediction of type 2 diabetes mellitus based on lifestyle data using machine learning approaches;Ganie;J. Diabetes Metab. Disord.,2022

Cited by 3 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. Integrated Embedded system for detecting diabetes mellitus using various machine learning techniques;EAI Endorsed Transactions on Pervasive Health and Technology;2024-03-21

2. Performance Evaluation and Comparative Analysis of Machine Learning Techniques to Predict the Chronic Kidney Disease;Lecture Notes in Networks and Systems;2024

3. Early Stage Diabetes Prediction by Approach Using Machine Learning Techniques;2023-07-12

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