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For: Nwanosike EM, Conway BR, Merchant HA, Hasan SS. Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review. Int J Med Inform 2021;159:104679. [PMID: 34990939 DOI: 10.1016/j.ijmedinf.2021.104679] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 8.0] [Reference Citation Analysis]
Number Citing Articles
1 Majcherek D, Kowalski AM, Lewandowska MS. Lifestyle, Demographic and Socio-Economic Determinants of Mental Health Disorders of Employees in the European Countries. IJERPH 2022;19:11913. [DOI: 10.3390/ijerph191911913] [Reference Citation Analysis]
2 Zhong M, Zhang H, Yu C, Jiang J, Duan X. Application of machine learning in predicting the risk of postpartum depression: A systematic review. J Affect Disord 2022:S0165-0327(22)00926-0. [PMID: 36055532 DOI: 10.1016/j.jad.2022.08.070] [Reference Citation Analysis]
3 Ganguli R, Franklin J, Yu X, Lin A, Lad R, Heffernan DS. Machine learning models to prognose 30-Day Mortality in Postoperative Disseminated Cancer Patients. Surgical Oncology 2022. [DOI: 10.1016/j.suronc.2022.101810] [Reference Citation Analysis]
4 Uysal MP. Machine Learning-Enabled Healthcare Information Systems in View of Industrial Information Integration Engineering. Journal of Industrial Information Integration 2022. [DOI: 10.1016/j.jii.2022.100382] [Reference Citation Analysis]
5 Zhuang X, Tian T, Liao L, Dong Y, Zhou H, Zhang S, Chen W, Du Z, Wang X, Liao X. Deep Phenotyping and Prediction of Long-Term Cardiovascular Disease: Optimized by Machine Learning. Canadian Journal of Cardiology 2022. [DOI: 10.1016/j.cjca.2022.02.008] [Reference Citation Analysis]