Machine learning approach to stratify complex heterogeneity of chronic heart failure: A report from the CHART-2 study.
Kenji NakanoKotaro NochiokaSatoshi YasudaDaito TamoriTakashi ShirotoYudai SatoEichi TakayaSatoshi MiyataEiryo KawakamiTetsuo IshikawaTakuya UedaHiroaki ShimokawaPublished in: ESC heart failure (2023)
These results suggest the potential applicability of the machine leaning approach, providing useful clinical prognostic information to stratify complex heterogeneity in patients with HF.