Computer algorithm can match physicians’ decisions about blood transfusions
Abstract Background Checking appropriateness of blood transfusion for quality assurance required enormous usage of time and human resources from the healthcare system. We report here a new machine learning algorithm for checking blood transfusion quality. Materials and methods The multilayer percept...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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BMC
2019-10-01
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| Series: | Journal of Translational Medicine |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12967-019-2085-y |
| _version_ | 1819012837149769728 |
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| author | Yuanyuan Yao Jenny Cifuentes Bin Zheng Min Yan |
| author_facet | Yuanyuan Yao Jenny Cifuentes Bin Zheng Min Yan |
| author_sort | Yuanyuan Yao |
| collection | DOAJ |
| description | Abstract Background Checking appropriateness of blood transfusion for quality assurance required enormous usage of time and human resources from the healthcare system. We report here a new machine learning algorithm for checking blood transfusion quality. Materials and methods The multilayer perceptron neural network (MLPNN) was designed to learn an expert’s judgement from 4946 clinical cases. The accuracy in predicting the blood transfusion was then reported. Results We achieved a 96.8% overall accuracy rate, with a 99% match rate to the experts’ judgement on those appropriate cases and 90.9% on the inappropriate cases. Conclusions Machine learning algorithm can accurately match to human judgement by feeding in pre-surgical information and key laboratory variables. |
| first_indexed | 2024-12-21T01:50:23Z |
| format | Article |
| id | doaj.art-f2ec7ec2e0214429b7dda5856fa5eecd |
| institution | Directory Open Access Journal |
| issn | 1479-5876 |
| language | English |
| last_indexed | 2024-12-21T01:50:23Z |
| publishDate | 2019-10-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Translational Medicine |
| spelling | doaj.art-f2ec7ec2e0214429b7dda5856fa5eecd2022-12-21T19:19:54ZengBMCJournal of Translational Medicine1479-58762019-10-011711510.1186/s12967-019-2085-yComputer algorithm can match physicians’ decisions about blood transfusionsYuanyuan Yao0Jenny Cifuentes1Bin Zheng2Min Yan3Department of Anesthesiology, The Second Affiliated Hospital of Zhejiang UniversityProgram of Electrical Engineering, Universidad De La SalleDepartment of Surgery, University of AlbertaDepartment of Anesthesiology, the Second Affiliated Hospital, School of Medicine, Zhejiang UniversityAbstract Background Checking appropriateness of blood transfusion for quality assurance required enormous usage of time and human resources from the healthcare system. We report here a new machine learning algorithm for checking blood transfusion quality. Materials and methods The multilayer perceptron neural network (MLPNN) was designed to learn an expert’s judgement from 4946 clinical cases. The accuracy in predicting the blood transfusion was then reported. Results We achieved a 96.8% overall accuracy rate, with a 99% match rate to the experts’ judgement on those appropriate cases and 90.9% on the inappropriate cases. Conclusions Machine learning algorithm can accurately match to human judgement by feeding in pre-surgical information and key laboratory variables.http://link.springer.com/article/10.1186/s12967-019-2085-yArtificial intelligenceNeural networks (computer)Computer algorithmBlood transfusionPatient safetySurgery |
| spellingShingle | Yuanyuan Yao Jenny Cifuentes Bin Zheng Min Yan Computer algorithm can match physicians’ decisions about blood transfusions Journal of Translational Medicine Artificial intelligence Neural networks (computer) Computer algorithm Blood transfusion Patient safety Surgery |
| title | Computer algorithm can match physicians’ decisions about blood transfusions |
| title_full | Computer algorithm can match physicians’ decisions about blood transfusions |
| title_fullStr | Computer algorithm can match physicians’ decisions about blood transfusions |
| title_full_unstemmed | Computer algorithm can match physicians’ decisions about blood transfusions |
| title_short | Computer algorithm can match physicians’ decisions about blood transfusions |
| title_sort | computer algorithm can match physicians decisions about blood transfusions |
| topic | Artificial intelligence Neural networks (computer) Computer algorithm Blood transfusion Patient safety Surgery |
| url | http://link.springer.com/article/10.1186/s12967-019-2085-y |
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