{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11257571","patent":{"patent_number":"US-11257571","title":"Identifying implied criteria in clinical trials using machine learning techniques","assignee":null,"inventors":[],"filing_date":"2019-02-05T00:00:00.000Z","publication_date":"2022-02-22T00:00:00.000Z","cpc_codes":["G16H","G16H"],"num_claims":20,"abstract":"A method and apparatus for identifying implied criteria for a clinical trial is disclosed. An example method generally includes generating a training data set from a corpus of clinical trial specifications. The training data set may include at least a first sample corresponding to a first trial. The first sample may include a first feature based on one or more explicitly stated trial criteria, a second feature based on metadata describing the first trial, and a third feature based on patient data of patients associated with the first trial. A machine learning model is trained, using a supervised learning approach, based on the training data set. A system processes a second trial as an input to the trained machine learning model to determine one or more implied criteria that are not explicitly enumerated in a specification for the second trial."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Identifying implied criteria in clinical trials using machine learning techniques","description":"A method and apparatus for identifying implied criteria for a clinical trial is disclosed. An example method generally includes generating a training data set from a corpus of clinical trial specifica","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11257571","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-11257571","citation_suggestion":"Patentable. \"Identifying implied criteria in clinical trials using machine learning techniques\" (US-11257571). https://patentable.app/patents/US-11257571","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11257571","json":"https://patentable.app/api/llm-context/US-11257571","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T22:16:07.255Z"}