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Healthcare and Big Data Management / / edited by Bairong Shen



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Titolo: Healthcare and Big Data Management / / edited by Bairong Shen Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (V, 164 p. 30 illus., 23 illus. in color.)
Disciplina: 610.285
Soggetto topico: Bioinformatics
Molecular biology
Molecular Medicine
Computational Biology/Bioinformatics
Persona (resp. second.): ShenBairong
Nota di bibliografia: Includes bibliographical references at the end of each chapters.
Nota di contenuto: Chapter 1 How to become a smart patient in the era of precision medicine? -- Chapter 2 Physiological Informatics: Collection and Analyses of Data from Wearable Sensors and Smartphone for Healthcare -- Chapter 3 Entropy for the Complexity of Physiological Signal Dynamics -- Chapter 4 Data Platform for the Research and Prevention of Alzheimer’s disease -- Chapter 5 Data analysis for gut microbiota and health -- Chapter 6 Ontology-based Vaccine Adverse Event Representation and Analysis -- Chapter 7 LEMRG – decision rule generation algorithm for mining microRNA expression data -- Chapter 8 Privacy Challenges of Genomic Big Data -- Chapter 9 Systems health, a transition from disease management towards health promotion.
Sommario/riassunto: The book addresses the interplay of healthcare and big data management. Thanks to major advances in big data technologies and precision medicine, healthcare is now becoming the new frontier for both scientific research and economic development. This volume covers a range of aspects, including: big data management for healthcare; physiological and gut microbiota – data collection and analysis; big data standardization and ontology; and personal data privacy and systems level modeling in the healthcare context. The book offers a valuable resource for biomedical informaticians, clinicians, health practitioners and researchers alike.
Titolo autorizzato: Healthcare and Big Data Management  Visualizza cluster
ISBN: 981-10-6041-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910253952503321
Lo trovi qui: Univ. Federico II
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Serie: Advances in Experimental Medicine and Biology, . 0065-2598 ; ; 1028