91°µÍø

Computational models can be used to evaluate a patient’s health condition and predict their risk of dying, for example, in the intensive care unit. These models could be useful to identify patients with worsening health conditions and alert doctors promptly. We test how well several computational models recognize patients with serious or worsening health conditions. We find most of the computational models evaluated cannot recognize critical health events in our tests, which is concerning. Our work highlights the importance of using medical knowledge guided testing to ensure models are suitable, as well as the need to incorporate fundamental medical knowledge into the design of such models.