Enigma Behavioural lake is capable of ingesting the data of individual patients, including critical care information, and in near real time, predicts if the patient has any critical diseases. This is achieved by implementing machine learning models, on top of the behavioural lake and the generated score for critical diseases. The purpose of these scores are to provide the clinical community with an objective measure of the severity of the illness or dysfunction in patients.


  • Ingests patients’ historical data and also near real time data
  • Applies machine learning to predict potential illness
  • Assigns scores to warn in case of any signs that need to be brought to the notices of critical care team(s)