Development of Machine Learning Models to Predict Probabilities and Types of Stroke at Prehospital Stage: the Japan Urgent Stroke Triage Score Using Machine Learning (JUST-ML) - Uchida, Kazutaka; Kouno, Junichi; Yoshimura, Shinichi; Kinjo, Norito; Sakakibara, Fumihiro; Araki, Hayato; Morimoto, Takeshi (Translational stroke research, 2022)
Keywords: Biomedical and Life Sciences; Biomedicine; Blood pressure; Brain Ischemia; Cardiology; Cohort analysis; Emergency Medical Services; Humans; Japan; Machine Learning; Magnetic resonance imaging; Medical imaging; Neurology; Neurosciences; Neurosurgery; Original; Original Article; Patients; Performance evaluation; Probability; Prospective Studies; Regression analysis; Retrospective Studies; Review boards; Stroke; Stroke - diagnosis; Stroke - therapy; Triage; Variables; Vascular Surgery; Japan; United States--US; Intracranial hemorrhage; Triage; Subarachnoid hemorrhage; Prehospital; Machine learning; Large vessel occlusion