Smart Health Open Problems and Future Challenges

Synopsis

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.

Book details

Edition:

2015

Series:

Lecture Notes in Computer Science (Book 8700)

Author:

Andreas Holzinger, Carsten Röcker, Martina Ziefle

ISBN:

9783319162263

Related ISBNs:

9783319162256

Publisher:

Springer International Publishing

Pages:

N/A

Reading age:

Not specified

Includes images:

Yes

Date of addition:

2019-09-07

Usage restrictions:

Copyright

Copyright date:

2015

Copyright by:

Springer International Publishing, Cham 

Adult content:

No

Language:

English

Categories:

Computers and Internet, Medicine, Nonfiction