Stroke Prognostic Scores and Data-Driven Prediction of Clinical Outcomes After Acute Ischemic StrokeKoutarou Matsumoto, Masahiro Kamouchi, Yasunobu Nohara et al.|Stroke|2020Cited by 88
Machine Learning–Based Prediction for In‐Hospital Mortality After Acute Intracerebral Hemorrhage Using Real‐World Clinical and Image DataKoutarou Matsumoto, Masahiro Kamouchi, Kazuaki Ishihara et al.|Journal of the American Heart Association|2024Cited by 13
Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation StudyKoutarou Matsumoto, Masahiro Kamouchi, Naoki Nakashima et al.|JMIR Perioperative Medicine|2023Cited by 11
Impact of a learning health system on acute care and medical complications after intracerebral hemorrhageKoutarou Matsumoto, Naoki Nakashima, Yasunobu Nohara et al.|Learning Health Systems|2020Cited by 10
Data‐driven prediction of prolonged air leak after video‐assisted thoracoscopic surgery for lung cancer: Development and validation of machine‐learning‐based models using real‐world data through the <scp>ePath</scp> systemSaori Tou, Masahiro Kamouchi, Koutarou Matsumoto et al.|Learning Health Systems|2024Cited by 5