{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10490309","patent":{"patent_number":"US-10490309","title":"Forecasting clinical events from short physiologic timeseries","assignee":null,"inventors":[],"filing_date":"2015-08-27T00:00:00.000Z","publication_date":"2019-11-26T00:00:00.000Z","cpc_codes":["G16H","A61B","A61B","A61B","A61B","A61B","G16H","G16H","G16H","G16H","G16H","G16H","A61B","A61B"],"num_claims":20,"abstract":"Systems, methods and computer-readable media are provided for monitoring patients and quantitatively predicting whether an event such as a significant change in health status meriting intervention, is likely to occur within a future time interval subsequent to computing the prediction. Medical data for a patient is collected from one or more different inputs and used to determine time series data. From this, a forecasted numerical value is computed for one or more physiologic parameters associated with the patient, which may be used to further monitor the patient and facilitate decision making about a need for intensified monitoring or intervention to prevent or manage physiologic or hemodynamic deterioration. An evolutionary algorithm, such as particle swarm optimization and/or differential evolution, may be used to determine the most probable value of the physiologic parameter(s) at one or more future times."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Forecasting clinical events from short physiologic timeseries","description":"Systems, methods and computer-readable media are provided for monitoring patients and quantitatively predicting whether an event such as a significant change in health status meriting intervention, is","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10490309","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-10490309","citation_suggestion":"Patentable. \"Forecasting clinical events from short physiologic timeseries\" (US-10490309). https://patentable.app/patents/US-10490309","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10490309","json":"https://patentable.app/api/llm-context/US-10490309","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T23:55:49.775Z"}