Abstract: The invention provides methods that use machine learning to discover within clinical data patterns that are predictive of disease. Clinical data from across a population is provided as input to a machine learning system. The autonomous machine learning system discovers associations in data from a plurality of data sources obtained from a population and correlates the associations to health status of patients in the population. The methods may further include providing patient data from an individual; and predicting, by the machine learning system, a health state for the individual when the patient data presents one or more of the discovered associations.