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EHR-Driven Phenotyping
EHR-Driven Phenotyping
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798535503288
- DDC
- 004/620
- 서명/저자
- EHR-Driven Phenotyping
- 발행사항
- [Sl] : University of Washington, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 155 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: A.
- 주기사항
- Advisor: Wilcox, Adam.
- 학위논문주기
- Thesis (Ph.D.)--University of Washington, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Information technology
- 일반주제명
- Biomedical engineering
- 일반주제명
- Computer science
- 일반주제명
- Bioinformatics
- 일반주제명
- Research
- 일반주제명
- Language
- 일반주제명
- Medical records
- 일반주제명
- Standards
- 일반주제명
- Metadata
- 일반주제명
- Interoperability
- 일반주제명
- Clinical medicine
- 일반주제명
- Health care policy
- 일반주제명
- Genomes
- 일반주제명
- Genomics
- 일반주제명
- Genotype & phenotype
- 일반주제명
- Performance evaluation
- 일반주제명
- Data models
- 일반주제명
- Medicine
- 일반주제명
- Logic
- 일반주제명
- Decision making
- 일반주제명
- Clinical trials
- 일반주제명
- Informatics
- 일반주제명
- Jargon
- 키워드
- Data science
- 키워드
- Digital health
- 키워드
- FHIR
- 기타저자
- University of Washington Biomedical Informatics and Medical Education
- 기본자료저록
- Dissertations Abstracts International. 83-02A.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■020 ▼a9798535503288
■035 ▼a(MiAaPQ)AAI28260890
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a004/620
■1001 ▼aBrandt, Pascal S.
■24510▼aEHR-Driven Phenotyping
■260 ▼a[Sl]▼bUniversity of Washington▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a155 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: A.
■500 ▼aAdvisor: Wilcox, Adam.
■5021 ▼aThesis (Ph.D.)--University of Washington, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0250.
■650 4▼aInformation technology
■650 4▼aBiomedical engineering
■650 4▼aComputer science
■650 4▼aBioinformatics
■650 4▼aResearch
■650 4▼aLanguage
■650 4▼aMedical records
■650 4▼aStandards
■650 4▼aMetadata
■650 4▼aInteroperability
■650 4▼aApplication programming interface
■650 4▼aClinical medicine
■650 4▼aHealth care policy
■650 4▼aGenomes
■650 4▼aGenomics
■650 4▼aStructured Query Language-SQL
■650 4▼aGenotype & phenotype
■650 4▼aPerformance evaluation
■650 4▼aData models
■650 4▼aElectronic health records
■650 4▼aMedicine
■650 4▼aLogic
■650 4▼aDecision making
■650 4▼aClinical trials
■650 4▼aInformatics
■650 4▼aJargon
■653 ▼aBiomedical informatics
■653 ▼aData science
■653 ▼aDigital health
■653 ▼aElectronic health record
■653 ▼aFHIR
■653 ▼aKnowledge representation
■653 ▼aFast Healthcare Interoperability Resource
■690 ▼a0489
■690 ▼a0541
■690 ▼a0984
■690 ▼a0715
■690 ▼a0395
■690 ▼a0564
■690 ▼a0679
■71020▼aUniversity of Washington▼bBiomedical Informatics and Medical Education.
■7730 ▼tDissertations Abstracts International▼g83-02A.
■773 ▼tDissertation Abstract International
■790 ▼a0250
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051150▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
