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Optimal Treatment Design for Chronic Myeloid Leukemia with Multiple Targeted Therapies
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Optimal Treatment Design for Chronic Myeloid Leukemia with Multiple Targeted Therapies. |
| 개인저자 | Zhu, Junfeng. |
| 단체저자명 | University of Minnesota. Industrial and Systems Engineering. |
| 발행사항 | [S.l.]: University of Minnesota., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 177 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01B(E). Dissertation Abstract International |
| ISBN | 9780438353336 |
| 학위논문주기 | Thesis (Ph.D.)--University of Minnesota, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Kevin Leder. |
| 요약 | A major challenge in understanding tumor growth control is how to model tumor growth and how to design and solve an optimization problem which can provide an efficient treatment. In the dissertation, we aim to develop a mathematical model which |
| 요약 | However, in clinical application, the outcomes under the optimal protocols are sensitive to variations of parameter settings such as drug effects and the attributes of age, weight, and health conditions in human subjects. One approach to overcom |
| 일반주제명 | Industrial engineering. Biomedical engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
