語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Integrating artificial intelligence ...
~
Comito, Carmela.
FindBook
Google Book
Amazon
博客來
Integrating artificial intelligence and IoT for advanced health informatics = AI in the healthcare sector /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Integrating artificial intelligence and IoT for advanced health informatics/ edited by Carmela Comito, Agostino Forestiero, Ester Zumpano.
其他題名:
AI in the healthcare sector /
其他作者:
Comito, Carmela.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xiv, 177 p. :ill., digital ;24 cm.
內容註:
1. Lower-Gait Tracking Application Using Smartphones and Tablets -- 2. One-class classification approach in accelerometer based remote monitoring of physical activities for healthcare applications -- 3. Detecting and monitoring behavioural patterns in individuals with cognitive disorders in the home environment with partial annotations -- 4. Towards On-device Weight Monitoring from Selfie Face Images Using Smartphones -- 5. Convergence between IoT and AI for Smart Health and Predictive Medicine -- 6. An Artificial Intelligence and Internet of Things Platform for Healthcare and Industrial Applications -- 7. Methods in Digital Mental Health: Smartphone-based Assessment and Intervention for Stress, Anxiety and Depression -- 8. AI for the detection of the Diabetic Retinopathy -- 9. Enhancing EEG-based Emotion Recognition with Fast Online Instance Transfer -- 10. Using Association Rules to mine Actionable Knowledge from Internet of Medical Thinks data.
Contained By:
Springer Nature eBook
標題:
Artificial intelligence - Medical applications. -
電子資源:
https://doi.org/10.1007/978-3-030-91181-2
ISBN:
9783030911812
Integrating artificial intelligence and IoT for advanced health informatics = AI in the healthcare sector /
Integrating artificial intelligence and IoT for advanced health informatics
AI in the healthcare sector /[electronic resource] :edited by Carmela Comito, Agostino Forestiero, Ester Zumpano. - Cham :Springer International Publishing :2022. - xiv, 177 p. :ill., digital ;24 cm. - Internet of things,2199-1081. - Internet of things..
1. Lower-Gait Tracking Application Using Smartphones and Tablets -- 2. One-class classification approach in accelerometer based remote monitoring of physical activities for healthcare applications -- 3. Detecting and monitoring behavioural patterns in individuals with cognitive disorders in the home environment with partial annotations -- 4. Towards On-device Weight Monitoring from Selfie Face Images Using Smartphones -- 5. Convergence between IoT and AI for Smart Health and Predictive Medicine -- 6. An Artificial Intelligence and Internet of Things Platform for Healthcare and Industrial Applications -- 7. Methods in Digital Mental Health: Smartphone-based Assessment and Intervention for Stress, Anxiety and Depression -- 8. AI for the detection of the Diabetic Retinopathy -- 9. Enhancing EEG-based Emotion Recognition with Fast Online Instance Transfer -- 10. Using Association Rules to mine Actionable Knowledge from Internet of Medical Thinks data.
The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.
ISBN: 9783030911812
Standard No.: 10.1007/978-3-030-91181-2doiSubjects--Topical Terms:
900591
Artificial intelligence
--Medical applications.
LC Class. No.: R859.7.A78 / I57 2022
Dewey Class. No.: 610.28563
Integrating artificial intelligence and IoT for advanced health informatics = AI in the healthcare sector /
LDR
:02930nmm a2200337 a 4500
001
2298710
003
DE-He213
005
20220210043133.0
006
m d
007
cr nn 008maaau
008
230324s2022 sz s 0 eng d
020
$a
9783030911812
$q
(electronic bk.)
020
$a
9783030911805
$q
(paper)
024
7
$a
10.1007/978-3-030-91181-2
$2
doi
035
$a
978-3-030-91181-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
R859.7.A78
$b
I57 2022
072
7
$a
TJK
$2
bicssc
072
7
$a
TEC041000
$2
bisacsh
072
7
$a
TJK
$2
thema
082
0 4
$a
610.28563
$2
23
090
$a
R859.7.A78
$b
I61 2022
245
0 0
$a
Integrating artificial intelligence and IoT for advanced health informatics
$h
[electronic resource] :
$b
AI in the healthcare sector /
$c
edited by Carmela Comito, Agostino Forestiero, Ester Zumpano.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
xiv, 177 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Internet of things,
$x
2199-1081
505
0
$a
1. Lower-Gait Tracking Application Using Smartphones and Tablets -- 2. One-class classification approach in accelerometer based remote monitoring of physical activities for healthcare applications -- 3. Detecting and monitoring behavioural patterns in individuals with cognitive disorders in the home environment with partial annotations -- 4. Towards On-device Weight Monitoring from Selfie Face Images Using Smartphones -- 5. Convergence between IoT and AI for Smart Health and Predictive Medicine -- 6. An Artificial Intelligence and Internet of Things Platform for Healthcare and Industrial Applications -- 7. Methods in Digital Mental Health: Smartphone-based Assessment and Intervention for Stress, Anxiety and Depression -- 8. AI for the detection of the Diabetic Retinopathy -- 9. Enhancing EEG-based Emotion Recognition with Fast Online Instance Transfer -- 10. Using Association Rules to mine Actionable Knowledge from Internet of Medical Thinks data.
520
$a
The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.
650
0
$a
Artificial intelligence
$x
Medical applications.
$3
900591
650
0
$a
Medical informatics.
$3
661258
650
1 4
$a
Communications Engineering, Networks.
$3
891094
650
2 4
$a
Cyber-Physical Systems.
$3
3591993
650
2 4
$a
Health Informatics.
$3
892928
650
2 4
$a
Biomedical Engineering and Bioengineering.
$3
3381533
700
1
$a
Comito, Carmela.
$3
3595528
700
1
$a
Forestiero, Agostino.
$3
3595529
700
1
$a
Zumpano, Ester.
$3
3595530
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Internet of things.
$3
2195168
856
4 0
$u
https://doi.org/10.1007/978-3-030-91181-2
950
$a
Engineering (SpringerNature-11647)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9440602
電子資源
11.線上閱覽_V
電子書
EB R859.7.A78 I57 2022
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入