A method (100) for training a hemodynamic
instability cause classification model to classify a patient's determined likelihood of future hemodynamic
instability as caused by one or more of
cardiogenic shock,
septic shock, and hypovolemic shock, the method comprising: (i) receiving (120) a preliminary cause classification model training dataset; (ii) analyzing (130) the received dataset to classify each patient as likely to be hemodynamically unstable; (iii) analyzing (140) the received
patient information by an
outlier detection model to determine whether that patient's hemodynamic
instability is likely to be
cardiogenic shock,
septic shock, hypovolemic shock, or an
outlier; (iv) generating (150) a final cause classification model training dataset by removing each of the patients determined as being an
outlier; and (v) training (160) the hemodynamic instability cause classification model to classify a cause of the patient's determined likelihood of future hemodynamic instability.