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Big data analytics for healthcare : datasets, techniques, life cycles, management, and applications /

Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaning...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Keikhosrokiani, Pantea, 1982- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; San Diego, CA : Academic Press, [2022]
Temas:
Acceso en línea:Texto completo

MARC

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020 |a 0323985165  |q electronic book 
020 |a 9780323919074  |q (electronic bk.) 
020 |a 0323919073  |q (electronic bk.) 
035 |a (OCoLC)1319344778 
050 4 |a R858  |b .B54 2022 
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245 0 0 |a Big data analytics for healthcare :  |b datasets, techniques, life cycles, management, and applications /  |c edited by Pantea Keikhosrokiani. 
264 1 |a London ;  |a San Diego, CA :  |b Academic Press,  |c [2022] 
300 |a 1 online resource (xx, 334 pages) :  |b illustrations (some color) 
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. 
588 |a Description based on online resource; title from digital title page (viewed on June 22, 2022). 
520 |a Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. 
650 0 |a Medical care  |x Data processing. 
650 0 |a Medicine  |x Data processing. 
650 0 |a Big data. 
650 0 |a Data mining. 
650 2 |a Data Mining  |0 (DNLM)D057225 
650 6 |a Soins m�edicaux  |0 (CaQQLa)201-0052619  |x Informatique.  |0 (CaQQLa)201-0380011 
650 6 |a M�edecine  |x Informatique.  |0 (CaQQLa)201-0103112 
650 6 |a Donn�ees volumineuses.  |0 (CaQQLa)000284673 
650 6 |a Exploration de donn�ees (Informatique)  |0 (CaQQLa)201-0300292 
650 7 |a Big data  |2 fast  |0 (OCoLC)fst01892965 
650 7 |a Data mining  |2 fast  |0 (OCoLC)fst00887946 
650 7 |a Medical care  |x Data processing  |2 fast  |0 (OCoLC)fst01013786 
650 7 |a Medicine  |x Data processing  |2 fast  |0 (OCoLC)fst01014924 
700 1 |a Keikhosrokiani, Pantea,  |d 1982-  |e editor. 
776 0 8 |i Print version:  |z 0323919073  |z 9780323919074  |w (OCoLC)1289364068 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780323919074  |z Texto completo