Analyzing the Multidimensionality of Aging by Using Machine Learning to Predict Age from Diverse Medical Datasets
Analyzing the Multidimensionality of Aging by Using Machine Learning to Predict Age from Diverse Medical Datasets
- Material Type
- 단행본
- ISBN
- 9798534681314
- DDC
- 574
- Author
- Le Goallec, Alan.
- Title/Author
- Analyzing the Multidimensionality of Aging by Using Machine Learning to Predict Age from Diverse Medical Datasets
- Publish Info
- [Sl] : Harvard University, 2021
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Material Info
- 457 p
- General Note
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- General Note
- Includes supplementary digital materials.
- General Note
- Advisor: Patel, Chirag J.
- 학위논문주기
- Thesis (Ph.D.)--Harvard University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Bioinformatics
- Subject Added Entry-Topical Term
- Artificial intelligence
- Subject Added Entry-Topical Term
- Statistics
- Subject Added Entry-Topical Term
- DNA methylation
- Subject Added Entry-Topical Term
- Datasets
- Subject Added Entry-Topical Term
- X rays
- Subject Added Entry-Topical Term
- Neural networks
- Subject Added Entry-Topical Term
- Electrocardiography
- Index Term-Uncontrolled
- Aging
- Index Term-Uncontrolled
- Artificial intelligence
- Index Term-Uncontrolled
- Data science
- Index Term-Uncontrolled
- Deep learning
- Index Term-Uncontrolled
- Genetics
- Index Term-Uncontrolled
- Machine learning
- Added Entry-Corporate Name
- Harvard University Systems Biology
- Host Item Entry
- Dissertations Abstracts International. 83-02B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인 후 원문을 볼 수 있습니다.
- 소장사항
-
202202 2022
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