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001 88963104
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005 20250429180908.0
006 m o d
007 cr un
008 250429s2023 fr | o|||||0|0|||eng d
020 _a9780443194139
035 _aFRCYB88963104
040 _aFR-PaCSA
_ben
_c
_erda
100 1 _aGarg Phd, Harish
245 0 1 _aDeep Learning in Personalized Healthcare and Decision Support
_c['Garg Phd, Harish', 'Moy Chatterjee Phd, Jyotir']
264 1 _bAcademic Press
_c2023
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aGarg Phd, Harish
700 0 _aMoy Chatterjee Phd, Jyotir
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/88963104
_qtext/html
_a
520 _aDeep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth. - Discusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management - Brings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way - Uncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies
999 _c1323498
_d1323498