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008			210917s2022 sz | s |||| 0|eng d
020			_a9783030791612
024	7		_a10.1007/978-3-030-79161-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
050		4	_aR859.7.A78 _b2022 EB
245	1	0	_aHandbook of Artificial Intelligence in Healthcare _bVol. 1 - Advances and Applications _cedited by Chee-Peng Lim, Ashlesha Vaidya, Kiran Jain, Virag U. Mahorkar, Lakhmi C. Jain.
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVII, 456 páginas) _b154 ilustraciones, 133 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aIntelligent Systems Reference Library _x1868-4408 _v211
505	0		_aAdvances in artificial intelligence for the identification of epileptiform discharges -- Characterizing EEG electrodes in directed functional brain networks using normalized transfer entropy and page rank -- Autistic verbal behaviour language parameterization -- Case studies to demonstrate real-world applications in ophthalmic image analysis -- Segmentation of petri plate images for automatic reporting of urine culture tests -- Repurposing routine imaging for cancer biomarker discovery using machine learning.
520			_aThis handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.
776	0	8	_iPrinted edition: _z9783030791605
776	0	8	_iPrinted edition: _z9783030791629
776	0	8	_iPrinted edition: _z9783030791636
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-79161-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Robotics_2022
999			_c395223 _d395223