1. A method for assigning probability classification values to a set of identified classes based on a set of measurements taken during a medical procedure of a patient in order to provide decision support for rendering a medical diagnosis, the method comprising: receiving data from a sensor representing one or more medical measurements; analyzing the received data by applying decision rules and training models derived from knowledgebase data and prior physician input; calculating probability values for the identified classes based on the analysis; determining sensitivity values for the one or more medical measurements based on the analysis; and outputting the probability values for each identified class and the sensitivity measurements for the one or more measurements.