Smart Health: Open Problems And Future Challenges (lecture Notes In Computer Science)
by Andreas Holzinger /
2015 / English / PDF
17.9 MB Download
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.
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 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.
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.
