Prediction of Metabolic Syndrome Based on Machine Learning Techniques with Emphasis on Feature Relevances and Explainability Analysis
Author:
Affiliation:
1. Research & Technology Alliance (BRTA),TECNALIA, Member of the Basque,Derio,Spain
2. Fundación Sarenet,Zamudio,Spain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385780.pdf?arnumber=10385780
Reference12 articles.
1. “The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis”;Mottillo,2010
2. Metabolic Syndrome and Risk of Cancer
3. “Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019”;CJL,2020
4. Metabolic syndrome, or What you will: definitions and epidemiology
5. Prediction of metabolic syndrome using artificial neural network system based on clinical data including insulin resistance index and serum adiponectin
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