Published on 11.05.2022 in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26801, first published December 28, 2020.

Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation

Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation

Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation

; Heejun Kang³

; Tae Joon Jun³

; Jihoon Kweon³

; Gyung-Min Park⁴

; YongHyun Cho⁵

; Cinyoung Hur⁵

; Jungwoo Chae⁵

; Do-Yoon Kang³

; Pil Hyung Lee³

; Jung-Min Ahn³

; Duk-Woo Park³

; Soo-Jin Kang³

; Seung-Whan Lee³

; Cheol Whan Lee³

; Seong-Wook Park³

; Seung-Jung Park³

; Dong Hyun Yang⁶

; Young-Hak Kim³

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