Healthcare and Big Data Management: Advances in Experimental Medicine and Biology, cartea 1028
Editat de Bairong Shenen Limba Engleză Hardback – 3 noi 2017
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Specificații
ISBN-13: 9789811060403
ISBN-10: 9811060401
Pagini: 164
Ilustrații: V, 164 p. 30 illus., 23 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.42 kg
Ediția:1st ed. 2017
Editura: Springer Nature Singapore
Colecția Springer
Seria Advances in Experimental Medicine and Biology
Locul publicării:Singapore, Singapore
ISBN-10: 9811060401
Pagini: 164
Ilustrații: V, 164 p. 30 illus., 23 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.42 kg
Ediția:1st ed. 2017
Editura: Springer Nature Singapore
Colecția Springer
Seria Advances in Experimental Medicine and Biology
Locul publicării:Singapore, Singapore
Cuprins
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.
Notă biografică
Dr. Bairong Shen is a Professor and Director of the Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics.
Textul de pe ultima copertă
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.
Caracteristici
Introduces informatics methods that will be applied in the future health economy and research Includes data analysis and application of imaging data Standardization and privacy of personal data are also covered