Smart Health Open Problems and Future Challenges - 7 Angebote vergleichen
| Preise | Mai 15 | Juli 15 | Okt. 20 |
|---|---|---|---|
| Schnitt | € 55,24 | € 69,39 | € 63,18 |
| Nachfrage |
1
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Smart Health (2015)
DE PB NWISBN: 9783319162256 bzw. 331916225X, in Deutsch, Springer-Verlag Gmbh Apr 2015, Taschenbuch, neu.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - 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. 275 pp. Englisch.
Neuware - 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. 275 pp. Englisch.
2
Smart Health
~EN PB NWISBN: 9783319162256 bzw. 331916225X, vermutlich in Englisch, Springer Shop, Taschenbuch, neu.
Lieferung aus: Deutschland, Lagernd.
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. Soft cover.
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. Soft cover.
3
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Smart Health. Open Problems and Future Challenges (2015)
DE PB USISBN: 9783319162256 bzw. 331916225X, in Deutsch, Springer, Taschenbuch, gebraucht.
Von Händler/Antiquariat, Herb Tandree Philosophy Books [17426], Stroud, United Kingdom.
9783319162256 Paperback, This listing is a new book, a title currently in-print which we order directly and immediately from the publisher.
9783319162256 Paperback, This listing is a new book, a title currently in-print which we order directly and immediately from the publisher.
4
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Smart Health: Open Problems and Future Challenges (Lecture Notes in Computer Science / Information Systems and Applications, incl. Internet/Web, and HCI) (2015)
DE PB NWISBN: 9783319162256 bzw. 331916225X, in Deutsch, Springer, Taschenbuch, neu.
Von Händler/Antiquariat, Revaluation Books [2134736], Exeter, United Kingdom.
9.25x6.10 inches. In Stock.
9.25x6.10 inches. In Stock.
6
Smart Health: Open Problems and Future Challenges (Lecture Notes in Computer Science) (2015)
EN PB USISBN: 9783319162256 bzw. 331916225X, in Englisch, 292 Seiten, 2015. Ausgabe, Springer, Taschenbuch, gebraucht.
Neu ab: £32.96 (16 Angebote)
Gebraucht ab: £48.36 (4 Angebote)
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Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Usually dispatched within 1-2 business days.
Von Händler/Antiquariat, --SuperBookDeals--.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, --SuperBookDeals--.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
7
Smart Health Open Problems and Future Challenges (2015)
~EN NWISBN: 331916225X bzw. 9783319162256, vermutlich in Englisch, Springer-Verlag GmbH; Springer International Publishing, neu.
Von Händler/Antiquariat, MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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