Machine Learning-Based Metabolic Syndrome Identification
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-52216-1_8
Reference10 articles.
1. Grundy, S.M., et al.: Diagnosis and management of the metabolic syndrome: an American heart association/national heart, lung, and blood institute scientific statement. Circulation 112, 2735–2752 (2005)
2. Mottillo, S., et al.: The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis. J. Am. Coll. Cardiol. 56, 1113–1132 (2010)
3. Zhang, L., Guo, Z., Wu, M., Hu, X., Xu, Y., Zhou, Z.: Interaction of smoking and metabolic syndrome on cardiovascular risk in a Chinese cohort. Int. J. Cardiol. 167, 250–253 (2013)
4. Foster, K.R., Koprowski, R., Skufca, J.D.: Machine learning, medical diagnosis, and biomedical engineering research - commentary. Biomed. Eng. Online 13, 94 (2014). https://doi.org/10.1186/1475-925X-13-94
5. Kononenko, I.: Machine learning for medical diagnosis: history, state of the art and perspective. Artif. Intell. Med. 23(1), 89–109 (2001)
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