DSS function by integrating patient data, including symptoms, medical history, and laboratory results, to generate diagnostic and treatment recommendations. The systems employ algorithms that compare individual patient data with vast databases of medical knowledge and previous cases. This allows them to identify patterns and predict possible diagnoses.
