Data validation involves the identification of faulty data within a given data set.
In clinical medicine, the task of data validation is extremely important. Faulty data must be identified and removed from the patient record, so that they are not used for medical decision making. While clinicians are adept at recognizing and discarding faulty data, automated decision-support systems typically do not have such capability. Decision-support systems that operate on faulty clinical data will generate faulty medical advice. My goal is to develop a software module that filters ICU patient data, so that only reliable data are available to ICU patient-monitoring systems.