Abstract: A healthcare risks extraction system comprising: a risk related terms collector to accept input of terms, the terms including terms related to risks in the form of potential diseases, terms related to risk factors that increase the likelihood of disease and terms related to treatments of a medical condition; a medical entity reconciliator, to standardise and expand the terms to include synonyms and equivalent terms using a standardised vocabulary of terms; a topic detector and tagger, to retrieve a set of documents linked to the expanded terms from a medical document database; a named entity recognition, resolution and disambiguation, NERD, module to extract entities from the set of document and each aligned to the standardised vocabulary; and a relation extractor to score relations between the entities based on the co-occurrence of two entities in documents in the retrieved set of documents; wherein the healthcare risks extraction system is arranged to generate a risk knowledge graph storing the entities and

Abstract: A system and method to aid diagnosis of a patient includes a data and knowledge acquisition module and a meta diagnosis prediction module. The data and knowledge acquisition module includes: an input for patient data including any of previous diagnosis, drugs, symptoms and treatment, an input for open data and an input for expert knowledge, and is arranged to use these inputs to create a patient clinical object (PCO), a biomedical knowledge graph and a rule based knowledge graph, and to enrich the patient clinical object using the biomedical knowledge graph.