{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1040862699866061952.json","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"24K15166"},{"@type":"JGN","@value":"JP24K15166"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24K15166/"}],"jpcoar:awardTitle":[{"@language":"ja","@value":"構造化医療データを活用した大規模言語モデルの検証改良とモデル出力根拠説明法の開発"},{"@language":"en","@value":"Verification and improvement of Large Language Models utilizing structured medical data, and development of a method for explaining model outputs"}],"field":[{"keyword":[{"language":"ja","textList":["小区分62010:生命、健康および医療情報学関連"]},{"language":"en","textList":["Basic Section 62010:Life, health and medical informatics-related"]}]}],"dc:language":"ja","description":[{"type":"outline_of_research_initial","notation":[{"@language":"ja","@value":"大規模言語モデル(LLM)は、読解や文章生成などの自然言語処理で優れた能力を有しており、医療分野でも活躍が期待されるが、信頼性等の面で課題を抱えている。LLMの学習や検証には、大量の正解ラベルデータが必要であるが、医療データでは専門家の人手が必要であり、その収集には特段の労力を要する。本研究では、電子クリニカルパスという我々が保有する質の高い構造化医療データ基盤を活用することで、効率よく大量の正解ラベルを収集し、LLMの検証と改良を継続的に行うとともに、そのオープンデータ化を目指す。"}]}],"researcher":[{"@id":"https://cir.nii.ac.jp/crid/1420001326208667392","@type":"Researcher","personIdentifier":[{"@type":"KAKEN_RESEARCHERS","@value":"30624829"},{"@type":"NRID","@value":"1000030624829"},{"@type":"NRID","@value":"9000398156806"},{"@type":"NRID","@value":"9000414945430"},{"@type":"NRID","@value":"9000006135257"},{"@type":"NRID","@value":"9000345299256"},{"@type":"NRID","@value":"9000403563065"},{"@type":"NRID","@value":"9000243892661"},{"@type":"NRID","@value":"9000413566252"},{"@type":"NRID","@value":"9000403586796"},{"@type":"NRID","@value":"9000017688116"},{"@type":"NRID","@value":"9000403586522"},{"@type":"NRID","@value":"9000403562616"},{"@type":"RESEARCHMAP","@value":"https://researchmap.jp/yasunohara"}],"foaf:name":[{"@language":"ja","@value":"野原 康伸"}],"jpcoar:affiliationName":[{"@language":"ja","@value":"熊本大学"}],"role":"principal_investigator"},{"@id":"https://cir.nii.ac.jp/crid/1420854979961823488","@type":"Researcher","personIdentifier":[{"@type":"KAKEN_RESEARCHERS","@value":"60932217"},{"@type":"NRID","@value":"1000060932217"}],"foaf:name":[{"@language":"ja","@value":"松本 晃太郎"}],"jpcoar:affiliationName":[{"@language":"ja","@value":"九州大学"}],"role":"co_investigator_buntan"}],"since":"2024-04-01","until":"2028-03-31","institution":[{"institutionIdentifier":[{"@type":"NII","@value":"0017401"}],"notation":[{"@language":"ja","@value":"熊本大学"},{"@language":"en","@value":"Kumamoto University"}]}],"fundingProgram":[{"jpcoar:funderName":[{"@language":"ja","@value":"科学研究費助成事業"},{"@language":"en","@value":"Grants-in-Aid for Scientific Research"}]}],"url":[{"@id":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24K15166/","notation":[{"@value":"KAKEN"}]}],"createdAt":"2024-04-05","modifiedAt":"2025-12-26","foaf:topic":[{"@id":"https://cir.nii.ac.jp/all?q=%E5%A4%A7%E8%A6%8F%E6%A8%A1%E8%A8%80%E8%AA%9E%E3%83%A2%E3%83%87%E3%83%AB","dc:title":"大規模言語モデル"},{"@id":"https://cir.nii.ac.jp/all?q=%E9%9B%BB%E5%AD%90%E3%82%AF%E3%83%AA%E3%83%8B%E3%82%AB%E3%83%AB%E3%83%91%E3%82%B9","dc:title":"電子クリニカルパス"},{"@id":"https://cir.nii.ac.jp/all?q=%E8%AA%AC%E6%98%8E%E3%81%A7%E3%81%8D%E3%82%8BAI","dc:title":"説明できるAI"},{"@id":"https://cir.nii.ac.jp/all?q=RAG","dc:title":"RAG"},{"@id":"https://cir.nii.ac.jp/all?q=%E3%82%AF%E3%83%AA%E3%83%8B%E3%82%AB%E3%83%AB%E3%83%91%E3%82%B9","dc:title":"クリニカルパス"},{"@id":"https://cir.nii.ac.jp/all?q=%E8%A8%BA%E7%99%82%E3%83%86%E3%82%AD%E3%82%B9%E3%83%88","dc:title":"診療テキスト"},{"@id":"https://cir.nii.ac.jp/all?q=%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92","dc:title":"機械学習"},{"@id":"https://cir.nii.ac.jp/all?q=%E8%A7%A3%E9%87%88%E6%89%8B%E6%B3%95","dc:title":"解釈手法"}],"product":[{"@id":"https://cir.nii.ac.jp/crid/1360584340704455936","@type":"Article","resourceType":"学術雑誌論文(journal article)","productIdentifier":[{"@type":"DOI","@value":"10.2196/46840"},{"@type":"DOI","@value":"10.2196/preprints.46840"}],"notation":[{"@value":"Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study"}]},{"@id":"https://cir.nii.ac.jp/crid/1360588379369486080","@type":"Article","resourceType":"学術雑誌論文(journal article)","productIdentifier":[{"@type":"DOI","@value":"10.1111/bph.16487"},{"@type":"URI","@value":"https://bpspubs.onlinelibrary.wiley.com/doi/pdf/10.1111/bph.16487"}],"notation":[{"@value":"Inhibition of dynamin‐related protein 1‐filamin interaction improves systemic glucose metabolism"}]},{"@id":"https://cir.nii.ac.jp/crid/1360025431089523200","@type":"Article","resourceType":"学術雑誌論文(journal article)","productIdentifier":[{"@type":"DOI","@value":"10.1002/lrh2.10469"},{"@type":"URI","@value":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/lrh2.10469"}],"notation":[{"@value":"Data‐driven prediction of prolonged air leak after video‐assisted thoracoscopic surgery for lung cancer: Development and validation of machine‐learning‐based models using real‐world data through the <scp>ePath</scp> system"}]}],"dataSourceIdentifier":[{"@type":"KAKEN","@value":"24K15166"}],"grant":{"grantIdentifier":[{"@type":"NII","@value":"72"}],"jpcoar:fundingStream":[{"@language":"ja","@value":"基盤研究(C)"},{"@language":"en","@value":"Grant-in-Aid for Scientific Research (C)"}]},"allocationClassification":[{"notation":[{"@language":"ja","@value":"基金"},{"@language":"en","@value":"Multi-year Fund"}]}],"projectStatus":"granted","allocationAmount":{"totalCost":{"amount":"4810000","currency":"JPY"},"breakdownCost":[{"notation":[{"@language":"ja","@value":"直接経費"},{"@language":"en","@value":"Direct Cost"}],"amount":"3700000","currency":"JPY"},{"notation":[{"@language":"ja","@value":"間接経費"},{"@language":"en","@value":"Indirect Cost"}],"amount":"1110000","currency":"JPY"}]}}