Abstract: A computer-implemented method for medical diagnosis, comprising: receiving a user input from a user, the user input comprising an input symptom; determining a measure of relevance of a plurality of items of medical data to the user input, wherein the plurality of items of medical data are items of medical data for which information associated with the user is stored; determining whether to include the stored information corresponding to an item of medical data in a first set of information, based on the measure of relevance for the item of medical data; providing the user input and the first set of information 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.

Abstract: The present disclosure provides a computer-implemented method of graphically representing events relating to a plurality of users. The method comprises: graphically representing a knowledge base, the knowledge base comprising concepts that are linked by relations; receiving a plurality of interim graphs each relating to an event, said interim graphs each comprising a plurality of nodes including a node identifying the user associated with the event and a node identifying a concept describing an outcome of the event; linking the plurality of interim graphs with the knowledge base to form a relation between the nodes in the interim graphs identifying the concepts and corresponding concepts in the knowledge base to produce a graphical representation of a user profile including the knowledge base augmented with the interim graphs relating to a plurality of users.

Abstract: The present disclosure provides a computer-implemented method of building a user profile for a medical diagnostic system. The method includes receiving a new event including data describing a consultation with the user from a conversation module of the diagnostic system. The method also includes encoding the new event using JavaScript Object Notation (JSON). The method also includes storing the encoded new event in a queue of events. The method also includes decoding and translating the new event into a form compatible with the user profile. The method also includes adding the translated new event to the user profile.

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.