000			04070nam a22004095i 4500
999			_c395350 _d395350
001			395350
003			ES-MaUEC
005			20230220101853.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			210930s2022 si | s |||| 0|eng d
020			_a9789811653049
024	7		_a10.1007/978-981-16-5304-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR859.7.A78 _b2022 EB
245	0	0	_aSmart Healthcare Analytics: State of the Art _cedited by Prasant Kumar Pattnaik, Ashlesha Vaidya, Suneeta Mohanty, Satarupa Mohanty, Ana Hol
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIV, 220 páginas) _b72 ilustraciones, 56 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 _v213
505	0		_aSmart Healthcare Analytics in IoT enabled Environment: An overview -- Neuronal reconstitution effect of stem cell transplantation for smart healthcare after focal cerebral ischemia -- A Review of Cancer Detection and Prediction Based on Supervised and Unsupervised Learning Techniques -- Resource Management Challenges in IoT based healthcare system -- A Comprehensive and Analytical Study of Smart Healthcare with IoT -- Clinical Study on Itching Relief Caused by Dry Skin of Cosmetics Containing Ceramide NP and Guaiazulene in Smart Healthcare Products -- Study and Impact Analysis of Machine Learning Approaches for Smart Healthcare in Predicting Mellitus Diabetes on Clinical Data -- A Review of Flying Robot Applications in Healthcare -- Application of Deep Learning in Biomedical Informatics and Healthcare -- Integration of Machine Learning and IoT for Assisting Medical Experts in Brain Tumor Diagnosis -- The relationship between SNS fatigue, SNS immersion and social support recognized by SNS due to smart intelligence -- Factors Affecting Attitudes toward Death of Korean Nursing College Students; Including Spiritual Well-being for Smart healthcare -- Development of smart healthcare cosmetic ingredients using lactic acid fermented coffee -- Ranking of SARS-CoV-2 Vaccines with reference to India -- RFID based Patient Billing Automation Using Internet of Things (IoT).
520			_aThis edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.
988			_aSpringer_Robotics_2022
650		7	_2embne _9421371 _aInteligencia artificial en medicina
776	0	8	_iPrinted edition: _z9789811653032
776	0	8	_iPrinted edition: _z9789811653056
776	0	8	_iPrinted edition: _z9789811653063
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-5304-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eu _zSI