Hiroko Inoue, Megumi Oya, Masashi Aizawa, Kyogo Wagatsuma, Masatomo Kamimae, Yusuke Kashiwagi, Masayoshi Ishii, Hanae Wakabayashi, Takayuki Fujii, Satoshi Suzuki, Noriyuki Hattori, Narihito Tatsumoto, Eiryo Kawakami, Katsuhiko Asanuma
BACKGROUND: Machine Learning has been increasingly used in the medical field, including managing patients undergoing hemodialysis. The random forest classifier is a Machine Learning method that can generate high accuracy and interpretability in the data analysis of various diseases. We attempted to apply Machine Learning to adjust dry weight, the appropriate volume status of patients undergoing hemodialysis, which requires a complex decision-making process considering multiple indicators and the patient's physical conditions...
June 29, 2023: BMC Nephrology