大葉大學圖書館 |

Smart health[electronic resource] :open problems and future challenges /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	610.285
書名/作者:	Smart health : open problems and future challenges // edited by Andreas Holzinger, Carsten Rocker, Martina Ziefle.
其他作者:	Holzinger, Andreas.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xiv, 275 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Medical informatics.
標題:	Artificial intelligence - Medical applications.
標題:	Computer Science.
標題:	Health Informatics.
標題:	Information Systems Applications (incl. Internet)
標題:	Database Management.
標題:	Data Mining and Knowledge Discovery.
標題:	Information Storage and Retrieval.
標題:	User Interfaces and Human Computer Interaction.
ISBN:	9783319162263 (electronic bk.)
ISBN:	9783319162256 (paper)
內容註:	From Smart Health to Smart Hospitals -- Medicine and Health Care as a Data Problem: Will Computers Become Better Medical Doctors -- Spatial Health Systems: When Humans Move Around -- Towards Pervasive Mobility Assessments in Clinical and Domestic Environments -- Personalized Physical Activity Monitoring Using Wearable Sensors -- Energy Harvesting on Human Bodies -- On Distant Speech Recognition for Home Automation -- A User-Centered Design Approach to Physical Motion Coaching Systems for Pervasive Health -- Linking Biomedical Data to the Cloud -- Towards Personalization of Diabetes Therapy Using Computerized Decision Support and Machine Learning: Some Open Problems and Challenges -- State-of-the-Art and Future Challenges in the Integration of Biobank Catalogues.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-16226-3

Smart health[electronic resource] :open problems and future challenges /
Smart healthopen problems and future challenges /[electronic resource] :edited by Andreas Holzinger, Carsten Rocker, Martina Ziefle. - Cham :Springer International Publishing :2015. - xiv, 275 p. :ill., digital ;24 cm. - Lecture notes in computer science,87000302-9743 ;. - Lecture notes in computer science ;7103..

From Smart Health to Smart Hospitals -- Medicine and Health Care as a Data Problem: Will Computers Become Better Medical Doctors -- Spatial Health Systems: When Humans Move Around -- Towards Pervasive Mobility Assessments in Clinical and Domestic Environments -- Personalized Physical Activity Monitoring Using Wearable Sensors -- Energy Harvesting on Human Bodies -- On Distant Speech Recognition for Home Automation -- A User-Centered Design Approach to Physical Motion Coaching Systems for Pervasive Health -- Linking Biomedical Data to the Cloud -- Towards Personalization of Diabetes Therapy Using Computerized Decision Support and Machine Learning: Some Open Problems and Challenges -- State-of-the-Art and Future Challenges in the Integration of Biobank Catalogues.

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.

ISBN: 9783319162263 (electronic bk.)

Standard No.: 10.1007/978-3-319-16226-3doiSubjects--Topical Terms:

340360
Medical informatics.

LC Class. No.: R858.A2

Dewey Class. No.: 610.285

Smart health[electronic resource] :open problems and future challenges /
LDR:03055nam a2200325 a 4500 001 426630
003 DE-He213
005 20150916151601.0
006 m d
007 cr nn 008maaau
008 151119s2015 gw s 0 eng d
020 $a 9783319162263 (electronic bk.)
020 $a 9783319162256 (paper)
024 7 $a 10.1007/978-3-319-16226-3 $2 doi
035 $a 978-3-319-16226-3
040 $a GP $c GP
041 0 $a eng
050 4 $a R858.A2
072 7 $a UBH $2 bicssc
072 7 $a MED000000 $2 bisacsh
082 0 4 $a 610.285 $2 23
090 $a R858.A2 $b S636 2015
245 0 0 $a Smart health $h [electronic resource] : $b open problems and future challenges / $c edited by Andreas Holzinger, Carsten Rocker, Martina Ziefle.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xiv, 275 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 8700
505 0 $a From Smart Health to Smart Hospitals -- Medicine and Health Care as a Data Problem: Will Computers Become Better Medical Doctors -- Spatial Health Systems: When Humans Move Around -- Towards Pervasive Mobility Assessments in Clinical and Domestic Environments -- Personalized Physical Activity Monitoring Using Wearable Sensors -- Energy Harvesting on Human Bodies -- On Distant Speech Recognition for Home Automation -- A User-Centered Design Approach to Physical Motion Coaching Systems for Pervasive Health -- Linking Biomedical Data to the Cloud -- Towards Personalization of Diabetes Therapy Using Computerized Decision Support and Machine Learning: Some Open Problems and Challenges -- State-of-the-Art and Future Challenges in the Integration of Biobank Catalogues.
520 $a 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.
650 0 $a Medical informatics. $3 340360
650 0 $a Artificial intelligence $x Medical applications. $3 340376
650 1 4 $a Computer Science. $3 423143
650 2 4 $a Health Informatics. $3 465003
650 2 4 $a Information Systems Applications (incl. Internet) $3 463679
650 2 4 $a Database Management. $3 463966
650 2 4 $a Data Mining and Knowledge Discovery. $3 464541
650 2 4 $a Information Storage and Retrieval. $3 464540
650 2 4 $a User Interfaces and Human Computer Interaction. $3 464000
700 1 $a Holzinger, Andreas. $3 510746
700 1 $a Rocker, Carsten. $3 606882
700 1 $a Ziefle, Martina. $3 606883
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 7103. $3 466200
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-16226-3
950 $a Computer Science (Springer-11645)