Smart health : open problems and future challenges /

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Bibliographic Details
Imprint:Cham : Springer, 2015.
Description:1 online resource (xiv, 275 pages) : illustrations.
Language:English
Series:Lecture notes in computer science, 0302-9743 ; 8700
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI
Lecture notes in computer science ; 8700.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11092151
Hidden Bibliographic Details
Other authors / contributors:Holzinger, Andreas, editor.
Rocker, Carsten, 1975- editor.
Ziefle, Martina, 1962- editor.
ISBN:9783319162263
3319162268
9783319162256
331916225X
9783319162256
Digital file characteristics:text file PDF
Notes:Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed March 5, 2015).
Summary:Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with "big data" are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.
Other form:Printed edition: 9783319162256
Standard no.:10.1007/978-3-319-16226-3