{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11468992","patent":{"patent_number":"US-11468992","title":"Predicting adverse health events using a measure of adherence to a testing routine","assignee":null,"inventors":[],"filing_date":"2021-02-04T00:00:00.000Z","publication_date":"2022-10-11T00:00:00.000Z","cpc_codes":["G16H","G06N","G06N","G16H","G16H","G16H"],"num_claims":20,"abstract":"The present disclosure describes systems and methods for predicting adverse health events of patients. In one embodiment, a system obtains a dataset including a plurality of values for each of a plurality of health measurements. The system can obtain the dataset in real-time or substantially real-time after a patient has taken the plurality of health measurements. The system can also obtain metadata about the dataset. The metadata may include a measure of the patient's adherence or non-adherence to a testing routine. The measure of non-adherence may indicate, for example, the quantity of days in a particular time period that the patient failed to conduct the testing routine. The system can apply an algorithm to the dataset and the metadata to generate a risk score. The risk score may indicate the likelihood that the subject will experience an adverse health event."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Predicting adverse health events using a measure of adherence to a testing routine","description":"The present disclosure describes systems and methods for predicting adverse health events of patients. In one embodiment, a system obtains a dataset including a plurality of values for each of a plura","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11468992","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-11468992","citation_suggestion":"Patentable. \"Predicting adverse health events using a measure of adherence to a testing routine\" (US-11468992). https://patentable.app/patents/US-11468992","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11468992","json":"https://patentable.app/api/llm-context/US-11468992","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T09:40:40.146Z"}