{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11935652","patent":{"patent_number":"US-11935652","title":"Health status change detection using anomaly detection in latent spaces","assignee":null,"inventors":[],"filing_date":"2020-02-11T00:00:00.000Z","publication_date":"2024-03-19T00:00:00.000Z","cpc_codes":["G16H","G06N","G06N","G06N","G16H","G16H","G16H"],"num_claims":20,"abstract":"Individual-specific changes in health conditions are detected using a latent space mapping generated from baseline physiological data collected in a longitudinal study of the individual. Historical baseline data in an n-dimensional input space is modeled into a k-dimensional latent space, where k<n. The mapping for the model is then used to convert new physiological data into a latent space point, which can be used to determine if the associated newly collected physiological data is anomalous and thus indicative of a change in health condition. Anomalies can be inferred from poor fit between the point and baseline data within the latent space, or form large error between data reconstructed into the input space from the point and the original new physiological data."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Health status change detection using anomaly detection in latent spaces","description":"Individual-specific changes in health conditions are detected using a latent space mapping generated from baseline physiological data collected in a longitudinal study of the individual. Historical ba","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11935652","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-11935652","citation_suggestion":"Patentable. \"Health status change detection using anomaly detection in latent spaces\" (US-11935652). https://patentable.app/patents/US-11935652","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11935652","json":"https://patentable.app/api/llm-context/US-11935652","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T03:34:11.544Z"}