{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11961621","patent":{"patent_number":"US-11961621","title":"Predicting intensive care transfers and other unforeseen events using machine learning","assignee":null,"inventors":[],"filing_date":"2023-02-10T00:00:00.000Z","publication_date":"2024-04-16T00:00:00.000Z","cpc_codes":["G16H","G06F","G06F","G06F","G16H","G16H","G16H"],"num_claims":48,"abstract":"A method includes receiving patient health data; determining a score using a trained machine learning model; determining a threshold value using an adaptive threshold tuning learning model; comparing the score to the threshold value; and generating an alarm. A computing system includes a processor; and a memory having stored thereon instructions that, when executed by the processor, cause the computing system to: receive patient health data; determine a score using a trained machine learning model; determine a threshold value using an adaptive threshold tuning learning model; compare the score to the threshold value; and generate an alarm. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to: receive patient health data; determine a score using a trained machine learning model; determine a threshold value using an adaptive threshold tuning learning model; compare the score to the threshold value; and generate an alarm."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Predicting intensive care transfers and other unforeseen events using machine learning","description":"A method includes receiving patient health data; determining a score using a trained machine learning model; determining a threshold value using an adaptive threshold tuning learning model; comparing ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11961621","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-11961621","citation_suggestion":"Patentable. \"Predicting intensive care transfers and other unforeseen events using machine learning\" (US-11961621). https://patentable.app/patents/US-11961621","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11961621","json":"https://patentable.app/api/llm-context/US-11961621","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T06:07:31.670Z"}