1. A method of providing a confidence-estimation-based inference, the method comprising: receiving a query concerning a patient from a user; accessing an electronic health record (EHR) for the patient, the EHR including a first component regarding the patient; querying the user, using a conversational interface, for a second component regarding the patient, the second component being in a natural language information form; receiving the second component regarding the patient in response to the query; calculating a first probability density function using the first component, and a second probability density function using the second component; combining the first and second probability density functions using a Gaussian mixture model; calculating at least one conditional probability table using the Gaussian mixture model; and providing the confidence-estimation-based inference based on the at least one conditional probability table.
4. The method of claim 1 , further comprising: prior to determining the inference, determining whether the calculated at least one conditional probability table includes a probability datum that exceeds a threshold; querying a user for a third component regarding the patient in response to determining that the at least one conditional probability table does not include the probability datum that exceeds the threshold; receiving the third component in response to the querying for the third component; calculating a third probability density function using the third component; combining the first, second and third probability density functions using a Gaussian mixture model; calculating at least one second conditional probability table using the Gaussian mixture model; and providing a second confidence-estimation-based inference based on the at least one second conditional probability table.