AUTOMATED MANAGEMENT OF MEDICAL DATA USING EXPERT KNOWLEDGE AND APPLIED COMPLEXITY SCIENCE FOR RISK ASSESSMENT AND DIAGNOSES

A knowledgebase comprising a plurality of feature-sets is created using complexity science. The knowledgebase is accessible through a network to a computer, a system, and a computer program code that receives and analyzes medical data to determine the existence of a disease state. The medical data is input and correlated to features within the knowledgebase to identify feature-sets, each feature-set indicating a particular medical condition. After one or more feature-sets have been selected, associative algorithms consider the magnitudes or values of the medical data and, with the values of features in the feature-sets, assess the risk burden of the medical condition associated with the feature-set. An output is generated that may include diagnoses of one or more medical conditions, the risk burden of the medical condition(s), possible treatment options and prevention techniques.