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Natural Language Processing and Graph Representation Learning for Clinical Data
Natural Language Processing and Graph Representation Learning for Clinical Data
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798522947798
- DDC
- 004
- 저자명
- Chang, David.
- 서명/저자
- Natural Language Processing and Graph Representation Learning for Clinical Data
- 발행사항
- [Sl] : Yale University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 146 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: A.
- 주기사항
- Advisor: Brandt, Cynthia.
- 학위논문주기
- Thesis (Ph.D.)--Yale University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Computer science
- 일반주제명
- Bioinformatics
- 일반주제명
- Public health
- 일반주제명
- Artificial intelligence
- 일반주제명
- Language
- 일반주제명
- Accuracy
- 일반주제명
- Deep learning
- 일반주제명
- Datasets
- 일반주제명
- Trends
- 일반주제명
- Researchers
- 일반주제명
- Visualization
- 일반주제명
- Knowledge
- 일반주제명
- Graph representations
- 일반주제명
- Neural networks
- 일반주제명
- Medical research
- 일반주제명
- Linguistics
- 일반주제명
- Libraries
- 일반주제명
- Informatics
- 일반주제명
- Semantics
- 키워드
- Deep learning
- 기타저자
- Yale University Computational Biology and Bioinformatics
- 기본자료저록
- Dissertations Abstracts International. 83-02A.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■035 ▼a(MiAaPQ)AAI28320253
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a004
■1001 ▼aChang, David.
■24510▼aNatural Language Processing and Graph Representation Learning for Clinical Data
■260 ▼a[Sl]▼bYale University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a146 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: A.
■500 ▼aAdvisor: Brandt, Cynthia.
■5021 ▼aThesis (Ph.D.)--Yale University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0265.
■650 4▼aComputer science
■650 4▼aBioinformatics
■650 4▼aPublic health
■650 4▼aArtificial intelligence
■650 4▼aLanguage
■650 4▼aAccuracy
■650 4▼aDeep learning
■650 4▼aDatasets
■650 4▼aTrends
■650 4▼aResearchers
■650 4▼aVisualization
■650 4▼aElectronic health records
■650 4▼aKnowledge
■650 4▼aGraph representations
■650 4▼aNeural networks
■650 4▼aMedical research
■650 4▼aNatural language processing
■650 4▼aLinguistics
■650 4▼aLibraries
■650 4▼aInformatics
■650 4▼aSemantics
■653 ▼aBiomedical informatics
■653 ▼aNatural language processing
■653 ▼aGraph representation learning
■653 ▼aDeep learning
■690 ▼a0984
■690 ▼a0715
■690 ▼a0800
■690 ▼a0573
■690 ▼a0290
■690 ▼a0679
■71020▼aYale University▼bComputational Biology and Bioinformatics.
■7730 ▼tDissertations Abstracts International▼g83-02A.
■773 ▼tDissertation Abstract International
■790 ▼a0265
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051279▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
