{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11475302","patent":{"patent_number":"US-11475302","title":"Multilayer perceptron based network to identify baseline illness risk","assignee":null,"inventors":[],"filing_date":"2020-04-06T00:00:00.000Z","publication_date":"2022-10-18T00:00:00.000Z","cpc_codes":["G16H","A61B","A61B","A61B","G06F","G06F","G06N","G06N","G06N","G16H"],"num_claims":24,"abstract":"A method for training a baseline risk model, including: pre-processing input data by normalizing continuous variable inputs and producing one-hot input features for categorical variables; providing definitions for clean input data and dirty input data based upon various input data related to a patient condition; segmenting the input data into clean input data and dirty input data, wherein the clean input data includes a first subset and a second subset, where the first subset and the second subset include all of the clean input data and are disjoint; training a machine learning model using the first subset of the clean data; and evaluating the performance of the trained machine learning model using the second subset of the clean input data and the dirty input data."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Multilayer perceptron based network to identify baseline illness risk","description":"A method for training a baseline risk model, including: pre-processing input data by normalizing continuous variable inputs and producing one-hot input features for categorical variables; providing de","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11475302","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-11475302","citation_suggestion":"Patentable. \"Multilayer perceptron based network to identify baseline illness risk\" (US-11475302). https://patentable.app/patents/US-11475302","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11475302","json":"https://patentable.app/api/llm-context/US-11475302","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T11:21:20.501Z"}