The Prediction of Medical Decision Post Operative of the Major Operation using Neural Networks

The exact handling to the postoperative inpatient of the major operation in the restoration period, became one of the factors that very important for the success of the process of medical treatment on the whole. By paying attention to the development of signs and vital signs from the patient, could...

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Main Authors: Anifudin Azis, Nur Rokhman, Praretno Wibowo
Format: Article
Language:English
Published: Universitas Gadjah Mada 2009-06-01
Series:IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Online Access:https://jurnal.ugm.ac.id/ijccs/article/view/20
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spelling doaj-6c193ccf689845c783aebaac30d823982020-11-24T22:16:29ZengUniversitas Gadjah MadaIJCCS (Indonesian Journal of Computing and Cybernetics Systems)1978-15202460-72582009-06-011110.22146/ijccs.2020The Prediction of Medical Decision Post Operative of the Major Operation using Neural NetworksAnifudin AzisNur RokhmanPraretno WibowoThe exact handling to the postoperative inpatient of the major operation in the restoration period, became one of the factors that very important for the success of the process of medical treatment on the whole. By paying attention to the development of signs and vital signs from the patient, could be made medical by one decision took the form of the further action for the handling of the patient. Using backpropagation neural networks, could be made by a system that could carry out the prediction (forecast) the medical decision that will be taken to the postoperative patient the major's operation. After trining, by accepting sign input and the vital sign of the patient, the system could determine the action that will be carried out against the patient. From results of the test of the application program showed that the backpropagation neural networks could do the prediction of the medical decision with the success to 80%. Therefore, output from the system could be used as consideration of the doctor to decide the further action for the patient.https://jurnal.ugm.ac.id/ijccs/article/view/20
collection DOAJ
language English
format Article
sources DOAJ
author Anifudin Azis
Nur Rokhman
Praretno Wibowo
spellingShingle Anifudin Azis
Nur Rokhman
Praretno Wibowo
The Prediction of Medical Decision Post Operative of the Major Operation using Neural Networks
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
author_facet Anifudin Azis
Nur Rokhman
Praretno Wibowo
author_sort Anifudin Azis
title The Prediction of Medical Decision Post Operative of the Major Operation using Neural Networks
title_short The Prediction of Medical Decision Post Operative of the Major Operation using Neural Networks
title_full The Prediction of Medical Decision Post Operative of the Major Operation using Neural Networks
title_fullStr The Prediction of Medical Decision Post Operative of the Major Operation using Neural Networks
title_full_unstemmed The Prediction of Medical Decision Post Operative of the Major Operation using Neural Networks
title_sort prediction of medical decision post operative of the major operation using neural networks
publisher Universitas Gadjah Mada
series IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
issn 1978-1520
2460-7258
publishDate 2009-06-01
description The exact handling to the postoperative inpatient of the major operation in the restoration period, became one of the factors that very important for the success of the process of medical treatment on the whole. By paying attention to the development of signs and vital signs from the patient, could be made medical by one decision took the form of the further action for the handling of the patient. Using backpropagation neural networks, could be made by a system that could carry out the prediction (forecast) the medical decision that will be taken to the postoperative patient the major's operation. After trining, by accepting sign input and the vital sign of the patient, the system could determine the action that will be carried out against the patient. From results of the test of the application program showed that the backpropagation neural networks could do the prediction of the medical decision with the success to 80%. Therefore, output from the system could be used as consideration of the doctor to decide the further action for the patient.
url https://jurnal.ugm.ac.id/ijccs/article/view/20
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