Hybrid bayesian network in neural network based deep learning framework for detection of obstructive sleep apnea syndrome
This study aimed to develop Bayesian Network model integrated with Deep Learning to help doctors diagnose Obstructive Sleep Apnoea Syndrome (OSAS) more holistically and clearly. The results of this research will produce a useful and beneficial clinical workflow for future support in health care. The...
| Main Authors: | Farouk, F.N.B.M., Anwar, T., Zakaria, N.B. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.24919 / |
| Published: |
Blue Eyes Intelligence Engineering and Sciences Publication
2019
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074574216&doi=10.35940%2fijeat.A2077.109119&partnerID=40&md5=66432646ddaa6767c0fb016014478d12 http://eprints.utp.edu.my/24919/ |
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utp-eprints.249192021-08-27T06:36:59Z Hybrid bayesian network in neural network based deep learning framework for detection of obstructive sleep apnea syndrome Farouk, F.N.B.M. Anwar, T. Zakaria, N.B. This study aimed to develop Bayesian Network model integrated with Deep Learning to help doctors diagnose Obstructive Sleep Apnoea Syndrome (OSAS) more holistically and clearly. The results of this research will produce a useful and beneficial clinical workflow for future support in health care. The model will be developed based on the methods of analysis and the quantitative data used to compromise the developing of Hybrid Bayesian Network in Neural Network using Deep Learning Algorithm. The aim of this study was to apply a hybrid model of convolutional neural network (CNN) that could be used during sleep consultation to determine the need for electrocardiography (ECG) signals stimuli for Polysomnography (PSG). © BEIESP. Blue Eyes Intelligence Engineering and Sciences Publication 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074574216&doi=10.35940%2fijeat.A2077.109119&partnerID=40&md5=66432646ddaa6767c0fb016014478d12 Farouk, F.N.B.M. and Anwar, T. and Zakaria, N.B. (2019) Hybrid bayesian network in neural network based deep learning framework for detection of obstructive sleep apnea syndrome. International Journal of Engineering and Advanced Technology, 9 (1). pp. 4922-4926. http://eprints.utp.edu.my/24919/ |
| institution |
Universiti Teknologi Petronas |
| collection |
UTP Institutional Repository |
| description |
This study aimed to develop Bayesian Network model integrated with Deep Learning to help doctors diagnose Obstructive Sleep Apnoea Syndrome (OSAS) more holistically and clearly. The results of this research will produce a useful and beneficial clinical workflow for future support in health care. The model will be developed based on the methods of analysis and the quantitative data used to compromise the developing of Hybrid Bayesian Network in Neural Network using Deep Learning Algorithm. The aim of this study was to apply a hybrid model of convolutional neural network (CNN) that could be used during sleep consultation to determine the need for electrocardiography (ECG) signals stimuli for Polysomnography (PSG). © BEIESP. |
| format |
Article |
| author |
Farouk, F.N.B.M. Anwar, T. Zakaria, N.B. |
| spellingShingle |
Farouk, F.N.B.M. Anwar, T. Zakaria, N.B. Hybrid bayesian network in neural network based deep learning framework for detection of obstructive sleep apnea syndrome |
| author_sort |
Farouk, F.N.B.M. |
| title |
Hybrid bayesian network in neural network based deep learning framework for detection of obstructive sleep apnea syndrome |
| title_short |
Hybrid bayesian network in neural network based deep learning framework for detection of obstructive sleep apnea syndrome |
| title_full |
Hybrid bayesian network in neural network based deep learning framework for detection of obstructive sleep apnea syndrome |
| title_fullStr |
Hybrid bayesian network in neural network based deep learning framework for detection of obstructive sleep apnea syndrome |
| title_full_unstemmed |
Hybrid bayesian network in neural network based deep learning framework for detection of obstructive sleep apnea syndrome |
| title_sort |
hybrid bayesian network in neural network based deep learning framework for detection of obstructive sleep apnea syndrome |
| publisher |
Blue Eyes Intelligence Engineering and Sciences Publication |
| publishDate |
2019 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074574216&doi=10.35940%2fijeat.A2077.109119&partnerID=40&md5=66432646ddaa6767c0fb016014478d12 http://eprints.utp.edu.my/24919/ |
| _version_ |
1741196890022608896 |
| score |
11.62408 |