基于人工神经网络的手术时间自动预测

Xiaomin Chen, Li Huang, Wenzhi Liu, Po-Chou Shih, Jiaxin Bao
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引用次数: 3

摘要

成本控制已成为医院管理中的一个重要问题。手术室作为医院的重要组成部分,消耗了大量的资源。如果手术室得到充分利用,可以节省大量的费用。然而,手术过程持续时间的高度不确定性导致了手术室使用调度的困难。手术室使用时间与手术时间有关,这是很难预测的。在本研究中,我们使用人工神经网络(ANN)构建手术时间预测模型。实验结果表明,该预测模型的预测精度是可以接受的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Surgery Duration Prediction Using Artificial Neural Networks
Cost control has become an important issue in hospital management. As a very important part of a hospital, the operating room consumes a great amount of resources. If operating rooms are put to their optimal use, a large amount could be saved. However, high uncertainty in the duration of operation procedures results in the difficulty in scheduling the use of operating rooms. The operating room use duration is related to the duration of surgery, and this is difficult to predict. In this study, we used artificial neural network (ANN) to construct a surgery duration prediction model. Experimental results show that the prediction accuracy of the prediction model is acceptable.
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