A Machine Learning Approach for Predicting Weight Gain Risks in Young Adults
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8765677/8770005/08770016.pdf?arnumber=8770016
Cited by 15 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. Combination of Machine Learning Techniques to Predict Overweight/Obesity in Adults;Journal of Personalized Medicine;2024-07-31
2. Identification of important features in overweight and obesity among Korean adolescents using machine learning;Children and Youth Services Review;2024-06
3. Prediction models for children/adolescents with obesity/overweight: A systematic review and meta-analysis;Preventive Medicine;2024-02
4. Detection and Diagnosis of Different Types of Obesity Using Machine Learning-Based Approaches;2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI);2023-12-27
5. Interpretable Models For ML-Based Classification of Obesity;Proceedings of the 2023 7th International Conference on Cloud and Big Data Computing;2023-08-17
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