With a trained, computerized
discontinuation predictor
machine learning component (MLC), predict, based on an input
time series, a time when a subject will discontinue a course of
medical treatment; with a trained, computerized pattern behavior extractor MLC, extract from said input
time series the top k discriminatory sequences via discriminatory sub-sequence mining (said top k discriminatory sequences differentiate between first and second classes of interest to provide a
hypothesis for downstream analysis of a cause of discontinuing said course of treatment). With a trained, causal effect estimator computerized MLC, determine a reason why said subject will discontinue said course of
medical treatment, based on said top k discriminatory sequences and additional data; and with a computerized
user interface, provide said time and said reason why to a responsible party to initiate an intervention.