Biochemical informatics methods for diagnosis and disease management

被引:3
作者
Hudson, Samuel E. [1 ]
机构
[1] Calif State Univ, Bakersfield, CA 93311 USA
来源
2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16 | 2007年
关键词
decision support models; neural networks; drug design; medical diagnosis;
D O I
10.1109/IEMBS.2007.4353152
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
New technological advances are beginning to have a direct impact on many aspects of healthcare, including screening, diagnosis, treatment, and disease management. A multidisciplinary approach permits the development of sophisticated patient-centered models that rely on bioinformatics, molecular biology, analytical and biochemistry, and healthcare informatics. In the work described here, a decision support model based on neural networks is used to combine results from laboratory tests with clinical parameters to produce a prognostic model for metastatic carcinoma. In addition, techniques for drug design and development are presented that can lead to medications that target specific cancer cells.
引用
收藏
页码:3769 / 3772
页数:4
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