Xiaomin Chen, Li Huang, Wenzhi Liu, Po-Chou Shih, Jiaxin Bao
{"title":"基于人工神经网络的手术时间自动预测","authors":"Xiaomin Chen, Li Huang, Wenzhi Liu, Po-Chou Shih, Jiaxin Bao","doi":"10.1145/3487075.3487128","DOIUrl":null,"url":null,"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.","PeriodicalId":354966,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Application Engineering","volume":"295 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Automatic Surgery Duration Prediction Using Artificial Neural Networks\",\"authors\":\"Xiaomin Chen, Li Huang, Wenzhi Liu, Po-Chou Shih, Jiaxin Bao\",\"doi\":\"10.1145/3487075.3487128\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":354966,\"journal\":{\"name\":\"Proceedings of the 5th International Conference on Computer Science and Application Engineering\",\"volume\":\"295 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th International Conference on Computer Science and Application Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3487075.3487128\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Conference on Computer Science and Application Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3487075.3487128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.