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Two Frameworks for Reliable Machine Learning in Biology and Medicine
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Two Frameworks for Reliable Machine Learning in Biology and Medicine. |
| 개인저자 | Abid, Abubakar. |
| 단체저자명 | Stanford University. |
| 발행사항 | [S.l.]: Stanford University., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 106 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-05B. Dissertation Abstract International |
| ISBN | 9798494461896 |
| 학위논문주기 | Thesis (Ph.D.)--Stanford University, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
Advisor: Zou, James. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Patients. Software. Medicine. Deep learning. Collaboration. Sensitivity analysis. Spectrum analysis. Audiences. Ejection fraction. Physicians. Medical research. Biology. Subject specialists. Algorithms. Time series. Feedback. Ultrasonic imaging. Engineers. Interfaces. Acoustics. Analytical chemistry. Artificial intelligence. Chemistry. Computer science. Medical imaging. Medical personnel. Optics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
