Towards more optimal medical diagnosing with evolutionary algorithms

被引:27
作者
Podgorelec V. [1 ]
机构
[1] Laboratory for System Design, University of Maribor, FERI, 2000 Maribor
关键词
Diagnostic process optimization; Evolutionary algorithms; Medical diagnosis; Resource management;
D O I
10.1023/A:1010733016906
中图分类号
学科分类号
摘要
Efficiency in hospital performance is becoming more and more important. Studies showed that diagnosis can considerably reduce the inefficiency, so one of the most important tasks in achieving greater hospital efficiency is to optimize the diagnostic process. For the best of the patient the diagnostic process has to be optimized regarding the number of the examinations and individualized in order to maximize accuracy, sensitivity and specificity. In addition the duration of the diagnostic process has to be minimized and the process has to be performed on the most reliable equipment. The main contribution of our paper is the introduction of the integrated computerized environment DIAPRO enabling the diagnostic process optimization. The DIAPRO is based on a single approach-evolutionary algorithms. © 2001 Plenum Publishing Corporation.
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收藏
页码:195 / 219
页数:24
相关论文
共 2 条
[1]  
Anderson H.R., Et al., Clinicians Illustrated Dictionary of Cardiology, (1991)
[2]  
Baeck T., Evolutionary Algorithms in Theory and Practice, (1996)