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Automatic Surgery Duration Prediction Using Artificial Neural Networks

Published: 07 December 2021 Publication History

Abstract

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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CSAE '21: Proceedings of the 5th International Conference on Computer Science and Application Engineering
October 2021
660 pages
ISBN:9781450389853
DOI:10.1145/3487075
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 December 2021

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Author Tags

  1. Artificial neural network
  2. Multilayer perceptron
  3. Prediction
  4. Surgery duration

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CSAE 2021

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Overall Acceptance Rate 368 of 770 submissions, 48%

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