Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data

MLA

Gabin Drouard, et al. “Exploring Machine Learning Strategies for Predicting Cardiovascular Disease Risk Factors from Multi-Omic Data.” BMC Medical Informatics and Decision Making, vol. 24, no. 1, May 2024, pp. 1–18. EBSCOhost, https://doi.org/10.1186/s12911-024-02521-3.

APA

Gabin Drouard, Juha Mykkänen, Jarkko Heiskanen, Joona Pohjonen, Saku Ruohonen, Katja Pahkala, Terho Lehtimäki, Xiaoling Wang, Miina Ollikainen, Samuli Ripatti, Matti Pirinen, Olli Raitakari, & Jaakko Kaprio. (2024). Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data. BMC Medical Informatics and Decision Making, 24(1), 1–18. https://doi.org/10.1186/s12911-024-02521-3

Chicago

Gabin Drouard, Juha Mykkänen, Jarkko Heiskanen, Joona Pohjonen, Saku Ruohonen, Katja Pahkala, Terho Lehtimäki, et al. 2024. “Exploring Machine Learning Strategies for Predicting Cardiovascular Disease Risk Factors from Multi-Omic Data.” BMC Medical Informatics and Decision Making 24 (1): 1–18. doi:10.1186/s12911-024-02521-3.