download0 view289
twitter facebook

공공누리This item is licensed Korea Open Government License

dc.contributor.author
고영일
dc.contributor.author
선충현
dc.contributor.author
송한
dc.contributor.author
최수연
dc.contributor.author
서금영
dc.contributor.author
이도훈
dc.contributor.author
김석현
dc.contributor.author
장희준
dc.date.accessioned
2022-06-27T05:55:20Z
dc.date.available
2022-06-27T05:55:20Z
dc.date.issued
2020
dc.identifier.other
K-20-SG-29-01S-1
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/17462
dc.publisher
한국과학기술정보연구원
dc.title
심혈관 질환 진단 유래 이종(Heterogenous) 데이터 기반 의사결정 지원 AI 솔루션 개발
dc.title.alternative
Development of AI based decision surpport solution using heterogenous clinical dataset for cardiovascular disease risk prediction
dc.type
Report
dc.contributor.affiliation
서울대학교병원
dc.contributor.affiliation
한국과학기술정보연구원
dc.contributor.affiliation
KISTI
dc.identifier.localId
8075454
dc.subject.keyword
심뇌혈관질환
dc.subject.keyword
선천적위험점수
dc.subject.keyword
클론성조혈증
dc.subject.keyword
고위험군선별모델
Appears in Collections:
7. KISTI 연구성과 > 연구보고서 > 2020
Files in This Item:
There are no files associated with this item.

Browse