| LDR | | 01900nam u200409 4500 |
| 001 | | 000000421889 |
| 005 | | 20190215165702 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438353336 |
| 035 | |
▼a (MiAaPQ)AAI10830131 |
| 035 | |
▼a (MiAaPQ)umn:19361 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 658 |
| 100 | 1 |
▼a Zhu, Junfeng. |
| 245 | 10 |
▼a Optimal Treatment Design for Chronic Myeloid Leukemia with Multiple Targeted Therapies. |
| 260 | |
▼a [S.l.]:
▼b University of Minnesota.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 177 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: Kevin Leder. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Minnesota, 2018. |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 590 | |
▼a School code: 0130. |
| 650 | 4 |
▼a Industrial engineering. |
| 650 | 4 |
▼a Biomedical engineering. |
| 690 | |
▼a 0546 |
| 690 | |
▼a 0541 |
| 710 | 20 |
▼a University of Minnesota.
▼b Industrial and Systems Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0130 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999394
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |