Pattern discovery visual analytics system to analyze characteristics of clinical data and generate patient cohorts
A pattern discovery, patient technology, applied in clinical diagnosis and monitoring, medical field, can solve the problem of limiting the amount of information
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[0017] The pattern discovery visual analysis techniques disclosed herein exploit the insight that information about individual patients (samples) is acquired over time in a clinical process (or any other stage-based process). For example, percutaneous coronary intervention (PCI) procedures in cardiology progressively generate more patient information in time-oriented stages, starting with historical and demographic information collected during patient admission, through pre-procedural laboratory tests generated Results, followed by in-procedure measurements of lesions and devices, followed by post-procedure lab test results, discharge status and medications, and more. Identifying groups of patients (cohorts) that satisfy criteria of a certain time-bound constraint based on selected prediction targets is meaningful for early intervention of high-risk patients to improve quality of care. Such patient cohort selection is also valuable for clinical research, such as selecting pati...
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