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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