000			03401nam a22004815i 4500
999			_c381667 _d381667
001			381667
003			ES-MaUEC
005			20230102121912.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			220409s2022 si | s |||| 0|eng d
020			_a9789811914768
024	7		_a10.1007/978-981-19-1476-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR857.D34 _b2022 EB
245	0	0	_aBiomedical Data Analysis and Processing Using Explainable (XAI) and Responsive Artificial Intelligence (RAI) _cedited by Aditya Khamparia, Deepak Gupta, Ashish Khanna, Valentina E. Balas
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XV, 137 páginas) _b73 ilustraciones, 63 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aIntelligent Systems Reference Library _x1868-4408 _v222
505	0		_aOptimal Boosting Label Weighting Extreme Learning Machine for Mental Disorder Prediction and Classification -- Modeling of Explainable Artificial Intelligence with Correlation based Feature Selection Approach for Biomedical Data Analysis -- Explainable machine learning model for diagnosis of Parkinson disorder -- Explainable Artificial Intelligence with Metaheuristic Feature Selection Technique for Biomedical Data Classification -- Explainable AI in Neural Networks using Shapley Values -- Design of Multimodal Fusion based Deep Learning Approach for COVID-19 Diagnosis using Chest X-Ray Images.
520			_aThe book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.
988			_aSpringer_Robotics_2022
650		7	_2embne _9143820 _aIngeniería biomédica _xProceso de datos
650		7	_2embne _9421371 _aInteligencia artificial en medicina
700	1		_aKhamparia, Aditya _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGupta, Deepak _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKhanna, Ashish _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBalas, Valentina E _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811914751
776	0	8	_iPrinted edition: _z9789811914775
776	0	8	_iPrinted edition: _z9789811914782
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-1476-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2022 _dz _esc _zSI