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
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798535568324
- DDC
- 575
- 서명/저자
- Genetic Architecture, Polygenic Risk Scores, and Artificial Intelligence Guided Risk Stratification in Congenital Long Qt Syndrome
- 발행사항
- [Sl] : College of Medicine - Mayo Clinic, 2020
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2020
- 형태사항
- 352 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- 주기사항
- Advisor: Ackerman, Michael J.
- 학위논문주기
- Thesis (Ph.D.)--College of Medicine - Mayo Clinic, 2020.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Genetics
- 일반주제명
- Artificial intelligence
- 일반주제명
- Public health
- 일반주제명
- Computer science
- 일반주제명
- Health sciences
- 키워드
- Long QT Syndrome
- 키워드
- Machine learning
- 기타저자
- College of Medicine - Mayo Clinic Clinical and Translational Science
- 기본자료저록
- Dissertations Abstracts International. 83-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
