Publication in refereed journal
香港中文大学研究人员 ( 现职)
| 莫树锦教授 (肿瘤学系) |
| 梁广锡教授 (计算机科学与工程学系) |
| 梁勇博士 (计算机科学与工程学系) |
全文
| 数位物件识别号 (DOI) http://dx.doi.org/10.1109/TITB.2005.859888 |
引用次数
Web of Sciencehttp://aims.cuhk.edu.hk/converis/portal/Publication/18WOS source URL
其它资讯
摘要In this paper, we introduce a modified optimal control model of drug scheduling in cancer chemotherapy and a new adaptive elitist-population-based genetic algorithm (AEGA) to solve it. Working closely with an oncologist, we first modify the existing model, because its equation for the cumulative drug toxicity is inconsistent with medical knowledge and clinical experience. To explore multiple efficient drug scheduling policies, we propose a novel variable representation-a cycle-wise representation, and modify the elitist genetic search operators in the AEGA. The simulation results obtained by the modified model match well with the clinical treatment experiences, and can provide multiple efficient solutions for oncologists to consider. Moreover, it has been shown that the evolutionary drug scheduling approach is simple, and capable of solving complex cancer chemotherapy problems by adapting mul-timodal versions of evolutionary algorithms.
着者Liang Y, Leung KS, Mok TSK
期刊名称IEEE Transactions on Information Technology in Biomedicine
出版年份2006
月份4
日期1
卷号10
期次2
出版社IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
页次237 - 245
国际标準期刊号1089-7771
电子国际标準期刊号1558-0032
语言英式英语
关键词drug scheduling model; genetic algorithms
Web of Science 学科类别Computer Science; Computer Science, Information Systems; COMPUTER SCIENCE, INFORMATION SYSTEMS; Computer Science, Interdisciplinary Applications; COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS; Mathematical & Computational Biology; MATHEMATICAL & COMPUTATIONAL BIOLOGY; Medical Informatics; MEDICAL INFORMATICS
