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A Model-to-Data Approach for Building Accurate Machine Learning Algorithms on EHR Data.
A Model-to-Data Approach for Building Accurate Machine Learning Algorithms on EHR Data.
- Material Type
- 학위논문
- 0016618963
- Date and Time of Latest Transaction
- 20230206105714
- ISBN
- 9798351441733
- DDC
- 4
- Author
- Yan, Yao.
- Title/Author
- A Model-to-Data Approach for Building Accurate Machine Learning Algorithms on EHR Data.
- Publish Info
- [S.l.] : University of Washington., 2022
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- Material Info
- 153 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
- General Note
- Advisor: Mooney, Sean D.
- 학위논문주기
- Thesis (Ph.D.)--University of Washington, 2022.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Information technology.
- Index Term-Uncontrolled
- Data sharing
- Index Term-Uncontrolled
- Electronic health records
- Index Term-Uncontrolled
- Generative adversarial network
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- Model evaluation
- Index Term-Uncontrolled
- Natural language processing
- Added Entry-Corporate Name
- University of Washington Molecular Engineering and Sciences
- Host Item Entry
- Dissertations Abstracts International. 84-04B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- 소장사항
-
202302 2023
- Control Number
- joongbu:625228
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