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| 003 | | OCoLC |
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| 007 | | cr cnu---unuuu |
| 008 | | 230307s2023 flu ob 001 0 eng d |
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▼a 9781003251903
▼q (electronic bk.) |
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▼a 1003251900
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▼a 10.1201/9781003251903
▼2 doi |
| 035 | |
▼a 3558133
▼b (N$T) |
| 035 | |
▼a (OCoLC)1372013402
▼z (OCoLC)1380691076 |
| 037 | |
▼a 9781003251903
▼b Taylor & Francis |
| 040 | |
▼a TYFRS
▼b eng
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▼c TYFRS
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▼d UKAHL
▼d OCLCF
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▼d 248032 |
| 049 | |
▼a MAIN |
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▼a 610.285
▼2 23/eng/20230316 |
| 245 | 00 |
▼a Artificial intelligence for disease diagnosis and prognosis in smart healthcare /
▼c edited by Ghita K. Mostefaoui, S.M. Riazul Islam, Faisal Tariq. |
| 264 | 1 |
▼a Boca Raton :
▼b CRC Press, Taylor & Francis Group,
▼c 2023. |
| 300 | |
▼a 1 online resource. |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 504 | |
▼a Includes bibliographical references and index. |
| 505 | 0 |
▼a Machine Learning for Disease Assessment / Sujay Saha and Shekh Md Mahmudul Islam -- Precision medicine and future healthcare / Muhammad Afzal, Maqbool Hussain -- AI-driven drug response prediction for personalised cancer medicine / Julhash U. Kaz -- Skin Disease Recognition and Classification Using Machine Learning and Deep Learning in Python / Masum Shah Junayed, Md Baharul Islam, Arezoo Sadeghzadeh -- COVID-19 Diagnosis Based Deep Learning Approaches for COVIDX Dataset : A Preliminary Survey / Esraa Hassan, Mahmoud Y. Shams, Noha A. Hikal, Samir Elmougy -- Automatic grading of invasive breast cancer patients for the decision of therapeutic plan / Hossain Md Shakhawat, Matthew Hanna, Kareem Ibrahim, Rene Serrette, Peter Ntiamoah, Marcia Edelweiss, Edi Brogi, Meera Hameed, Masahiro Yamaguchi, Dara Ross, Yukako Yagi -- Prognostic Role of CALD1 in Brain Cancer : A Data-driven Review / S. M. Riazul Islam, Subbroto Kumar Saha, Afsana Nishat , and Shaker El-Sappagh -- Artificial Intelligence for Parkinson's Disease Diagnosis : A Review / Md. Moradul Siddique, Yeasir Arefin Tusher, Dr. Md. Humaun Kabir, Mohammad Farhad Bulbul and Dr. Syed Md. Galib -- Breast Cancer Detection : A Survey / Esraa Hassan, Fatma M. Talaat, Zeinab Hassan, Nora El-Rashidy -- Review of artifact detection methods for automated analysis and diagnosis in digital pathology / Hossain Md Shakhawat, Md Sakir Hossain, M M Manjurul Islam, Md Alamgir Kabir, S M Hasan Mahmud, and Faisal Tariq -- Machine Learning Enabled Detection and Management of Diabetes Mellitus / Shafiqul Islam -- IoT and deep learning-based smart healthcare with an integrated security system to detect various skin lesions / Md Khairul Islam, Md Al Amin, Md. Mojibur Rahman Redoy Akanda, Md. Shabuj Hossen, Feroza -- Naznin, Md Zahidul Islam, Mohammad Ali Mon -- Real-Time Facemask Detection Using Deep Convolutional Neural Network-based Transfer Learning / Jakaria Islam Emon, M M Manjurul Islam, Syeda Amina Abedin, Md Shakhawat Hossain, Rupam Kumar Das -- Security Challenges in Wireless Body Area Networks for Smart Healthcare / Muhammad Shadi Hajar, Harsha Kumara Kalutarage , and M. Omar Al-Kadri -- Machine Learning Based Security and Privacy Protection Approach to Handle the Physiological Data / M. Humayun Kabir -- Conclusion : Future Challenges in Artificial Intelligence for Smart -- Healthcare / Faisal Tariq, S. M. Riazul Islam, and Ghita Kouadri Mostefaoui. |
| 520 | |
▼a "Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that the next generation healthcare services are sprouting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services would improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and well-being. Rapid progress in AI leads to the possibility of exploiting healthcare data for designing practical tools for automated diagnosis of chronic diseases such as dementia and diabetes. This book highlights the current research trends in applying AI models in various disease diagnoses and prognoses to provide enhanced healthcare solutions. The primary audience of the book will be postgraduate students and researchers in the broad domain of healthcare technologies"--
▼c Provided by publisher. |
| 545 | 0 |
▼a Ghita Kouadri Mostefaoui is currently an Associate Professor at the Department of Computer Science, University College London. Her current teaching includes programming, computer architecture, and software engineering. She received her PhD in computer science from both the University of Fribourg, Switzerland and Universite? Pierre et Marie Curie (Paris 6). Ghita is a Fellow of the Higher Education Academy. S. M. Riazul Islam is currently a Senior Lecturer in Computer Science at the University of Huddersfield, United Kingdom. Before moving to the UK, he was an Assistant Professor at the Department of Computer Science and Engineering, Sejong University, South Korea, from 2017 to 2022. Dr. Islam's prior affiliations were at Inha University as a Postdoctoral Fellow, at Samsung R&D Institute as a Senior Engineer, and at the University of Dhaka as an Assistant Professor in EEE. He received his Ph.D. in Information and Communication Engineering from Inha University, South Korea, in 2012. Dr. Islam's research interests include applied AI, machine learning, data science, and IoT. Faisal Tariq is currently a Senior Lecturer at the James Watt School of Engineering, University of Glasgow, United Kingdom. He received his PhD degree from The Open University, UK. His research interests include applications of Artificial Intelligence (AI) and Machine Learning (ML) in various domains including smart wireless communications, healthcare technology, cyber security and intelligent internet of Things (IIoT). He is a senior member of IEEE and fellow of the Higher Education Academy. |
| 588 | 0 |
▼a Print version record. |
| 590 | |
▼a OCLC control number change |
| 650 | 0 |
▼a Artificial intelligence
▼x Medical applications. |
| 650 | 7 |
▼a COMPUTERS / Machine Theory
▼2 bisacsh |
| 650 | 7 |
▼a COMPUTERS / Artificial Intelligence
▼2 bisacsh |
| 650 | 7 |
▼a COMPUTERS / Social Aspects / Human-Computer Interaction
▼2 bisacsh |
| 650 | 7 |
▼a Artificial intelligence
▼x Medical applications.
▼2 fast
▼0 (OCoLC)fst00817267 |
| 700 | 1 |
▼a Mostefaoui, Ghita K.,
▼e editor. |
| 700 | 1 |
▼a Islam, S. M. Riazul,
▼e editor. |
| 700 | 1 |
▼a Tariq, Faisal,
▼e editor. |
| 776 | 08 |
▼i Print version:
▼t Artificial intelligence for disease diagnosis and prognosis in smart healthcare.
▼d Boca Raton : CRC Press, 2022
▼z 9781032168302
▼w (DLC) 2022034534
▼w (OCoLC)1353605034 |
| 856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3558133 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 3558133 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |