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Analyzing the Multidimensionality of Aging by Using Machine Learning to Predict Age from Diverse Medical Datasets
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Analyzing the Multidimensionality of Aging by Using Machine Learning to Predict Age from Diverse Medical Datasets. |
| 개인저자 | Le Goallec, Alan. |
| 단체저자명 | Harvard University. Systems Biology. |
| 발행사항 | [S.l.]: Harvard University., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 457 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-02B. Dissertation Abstract International |
| ISBN | 9798534681314 |
| 학위논문주기 | Thesis (Ph.D.)--Harvard University, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Includes supplementary digital materials. Advisor: Patel, Chirag J. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Bioinformatics. Artificial intelligence. Statistics. DNA methylation. Datasets. X rays. Neural networks. Electrocardiography. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
