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Cited by in F6Publishing

For:	Rahman F, Finkelstein N, Alyakin A, Gilotra NA, Trost J, Schulman SP, Saria S. Using Machine Learning for Early Prediction of Cardiogenic Shock in Patients With Acute Heart Failure. Journal of the Society for Cardiovascular Angiography & Interventions 2022;1:100308. [DOI: 10.1016/j.jscai.2022.100308] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]

For:

Rahman F, Finkelstein N, Alyakin A, Gilotra NA, Trost J, Schulman SP, Saria S. Using Machine Learning for Early Prediction of Cardiogenic Shock in Patients With Acute Heart Failure. Journal of the Society for Cardiovascular Angiography & Interventions 2022;1:100308. [DOI: 10.1016/j.jscai.2022.100308] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]

Number	Citing Articles
1	Liang Y, Guo C. Heart failure disease prediction and stratification with temporal electronic health records data using patient representation. Biocybernetics and Biomedical Engineering 2023. [DOI: 10.1016/j.bbe.2022.12.008] [Reference Citation Analysis]
2	Chang Y, Antonescu C, Ravindranath S, Dong J, Lu M, Vicario F, Wondrely L, Thompson P, Swearingen D, Acharya D. Early Prediction of Cardiogenic Shock Using Machine Learning. Front Cardiovasc Med 2022;9. [DOI: 10.3389/fcvm.2022.862424] [Reference Citation Analysis]