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Genetic Architecture, Polygenic Risk Scores, and Artificial Intelligence Guided Risk Stratification in Congenital Long Qt Syndrome.
Genetic Architecture, Polygenic Risk Scores, and Artificial Intelligence Guided Risk Stratification in Congenital Long Qt Syndrome.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016051028
- International Standard Book Number
- 9798535568324
- Dewey Decimal Classification Number
- 575
- Main Entry-Personal Name
- Turkowski, Kari Leah.
- Publication, Distribution, etc. (Imprint
- [S.l.] : College of Medicine - Mayo Clinic., 2020
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2020
- Physical Description
- 352 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- General Note
- Advisor: Ackerman, Michael J.
- Dissertation Note
- Thesis (Ph.D.)--College of Medicine - Mayo Clinic, 2020.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Genetics.
- Subject Added Entry-Topical Term
- Artificial intelligence.
- Subject Added Entry-Topical Term
- Public health.
- Subject Added Entry-Topical Term
- Individual & family studies.
- Subject Added Entry-Topical Term
- Computer science.
- Subject Added Entry-Topical Term
- Health sciences.
- Index Term-Uncontrolled
- Congenital heart disease
- Index Term-Uncontrolled
- Genome-Wide Association Studies
- Index Term-Uncontrolled
- Long QT Syndrome
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- Polygenic risk score
- Index Term-Uncontrolled
- Genetic architecture
- Index Term-Uncontrolled
- Risk stratification
- Index Term-Uncontrolled
- Ion channel disease
- Index Term-Uncontrolled
- Congenital diseases
- Added Entry-Corporate Name
- College of Medicine - Mayo Clinic Clinical and Translational Science
- Host Item Entry
- Dissertations Abstracts International. 83-03B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:609951
MARC
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■035 ▼a(MiAaPQ)AAI28086646
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a575
■1001 ▼aTurkowski, Kari Leah.
■24510▼aGenetic Architecture, Polygenic Risk Scores, and Artificial Intelligence Guided Risk Stratification in Congenital Long Qt Syndrome.
■260 ▼a[S.l.]▼bCollege of Medicine - Mayo Clinic. ▼c2020
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2020
■300 ▼a352 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: B.
■500 ▼aAdvisor: Ackerman, Michael J.
■5021 ▼aThesis (Ph.D.)--College of Medicine - Mayo Clinic, 2020.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 1542.
■650 4▼aGenetics.
■650 4▼aArtificial intelligence.
■650 4▼aPublic health.
■650 4▼aIndividual & family studies.
■650 4▼aComputer science.
■650 4▼aHealth sciences.
■653 ▼aCongenital heart disease
■653 ▼aGenome-Wide Association Studies
■653 ▼aLong QT Syndrome
■653 ▼aMachine learning
■653 ▼aPolygenic risk score
■653 ▼aGenetic architecture
■653 ▼aRisk stratification
■653 ▼aIon channel disease
■653 ▼aCongenital diseases
■690 ▼a0369
■690 ▼a0800
■690 ▼a0984
■690 ▼a0566
■690 ▼a0628
■690 ▼a0573
■71020▼aCollege of Medicine - Mayo Clinic▼bClinical and Translational Science.
■7730 ▼tDissertations Abstracts International▼g83-03B.
■773 ▼tDissertation Abstract International
■790 ▼a1542
■791 ▼aPh.D.
■792 ▼a2020
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051028▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
