{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10482385","patent":{"patent_number":"US-10482385","title":"Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data","assignee":null,"inventors":[],"filing_date":"2015-09-11T00:00:00.000Z","publication_date":"2019-11-19T00:00:00.000Z","cpc_codes":["G06N","G16H","G16H"],"num_claims":54,"abstract":"Systems, methods, and computer-readable medium are provided for healthcare analysis. Data corresponding to a plurality of patients is received. The data is parsed to generate normalized data for a plurality of variables, with normalized data generated for more than one variable for each patient. A causal relationship network model is generated relating the plurality of variables based on the generated normalized data using a Bayesian network algorithm. The causal relationship network model includes variables related to a plurality of medical conditions or medical drugs. In another aspect, a selection of a medical condition or drug is received. A sub-network is determined from a causal relationship network model. The sub-network includes one or more variables associated with the selected medical condition or drug. One or more predictors for the selected medical condition or drug are identified."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data","description":"Systems, methods, and computer-readable medium are provided for healthcare analysis. Data corresponding to a plurality of patients is received. The data is parsed to generate normalized data for a plu","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10482385","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-10482385","citation_suggestion":"Patentable. \"Bayesian causal relationship network models for healthcare diagnosis and treatment based on patient data\" (US-10482385). https://patentable.app/patents/US-10482385","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10482385","json":"https://patentable.app/api/llm-context/US-10482385","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T08:35:02.656Z"}