Abstract: Methods for medical data-driven automated medical diagnoses are provided. In one aspect, a computer-implemented method includes receiving an input from a user comprising at least one input symptom, identifying the user, and determining the validity of information relating to one or more items of medical data from a set of stored information relating to medical data associated with the user. The method also includes providing the at least one input symptom, and valid information relating to the one or more items of medical data, as an input to a model, the model being configured to output a probability of the user having a disease, and outputting a diagnosis based on the probability of the user having a disease. Systems and machine-readable media are also provided.

Abstract: Methods for determining validity of medical information are provided. In one aspect, a computer-implemented method includes obtaining, from a stored clinical history, information relating to a set of items of medical data associated with a user, the information comprising an indication of whether the item of medical data is present, wherein an item of medical data comprises a symptom, risk factor, disease, physiological data, recommendation or behaviour. The method also includes obtaining the source of the information indicating whether the item of medical data is present. The method also includes determining the validity of the information and providing valid information, wherein the validity is determined from information indicating items of medical data which are permanently valid or from a time duration from when the information was reported in the stored clinical history. The method also includes applying a policy to prioritise information based on the source information.