Abstract: A method for identifying causative ailments or conditions for health-related symptoms of an animal. Information from a pet profile database and symptoms are received. First-tier data options are selected by a user and an algorithm analyzes them using information from a medical knowledge database. Data options associated with each successive tier are determined by the algorithm, based on user-selected responses to data options of a prior tier and information from the medical knowledge database, presented and applicable data options selected. The algorithm conducts a statistical analysis of user-selected data options of each tier to determine numerical values indicating a likelihood that an associated ailment or condition is a cause of the symptoms. A machine learning model receives and further refines the numerical values. A report is presented setting forth refined numerical values and the ailment or condition associated with each one of the refined numerical values.