語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
AI-enabled multiple-criteria decision-making approaches for healthcare management
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
AI-enabled multiple-criteria decision-making approaches for healthcare management/ Sandeep Kautish, and Gaurav Dhiman, editors.
其他題名:
Artificial intelligence-enabled multiple-criteria decision-making approaches for healthcare management
其他作者:
Dhiman, Gaurav,
出版者:
Hershey, Pennsylvania :IGI Global, : 2022.,
面頁冊數:
1 online resource (274 p.) j:ill. (chiefly col.) :
標題:
Medical Informatics - Congresses. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-4405-4
ISBN:
9781668444078
AI-enabled multiple-criteria decision-making approaches for healthcare management
AI-enabled multiple-criteria decision-making approaches for healthcare management
[electronic resource] /Artificial intelligence-enabled multiple-criteria decision-making approaches for healthcare managementSandeep Kautish, and Gaurav Dhiman, editors. - Hershey, Pennsylvania :IGI Global,2022. - 1 online resource (274 p.) j:ill. (chiefly col.)
Includes bibliographical references and index.
Chapter 1. Real-time detection of cardiac arrest using deep learning -- Chapter 2. A study and analysis of deep neural networks for cancer using histopathology images -- Chapter 3. Artificial intelligence based on IoT for healthcare-- Chapter 4. Secure medical data transmission over wireless body area network using blockchain -- Chapter 5. AI-enabled augmented reality-based shared collaborative experience -- Chapter 6. A comparative study with linear regression and linear regression with fuzzy data for the same data set: LRFD -- Chapter 7. A comparative study of fuzzy linear and multi-objective optimization -- Chapter 8. Clustering and regression analysis on COVID-19 in India using python -- Chapter 9.Acomprehensive study of various fuzzy c-means clustering algorithms -- Chapter 10. Survey or review on the deep learning techniques for retinal image segmentation in predicting/diagnosing diabetic retinopathy -- Chapter 11. Adaptive clinical treatments and reinforcement learning for automatic disease diagnosis -- Chapter 12. AI-enabled internet of nano things methodology for healthcare information management.
"The success of healthcare decision-making lies in whether healthcare staff, patients, and healthcare organization managers can comprehensively understand the choices and consider future implications to make the best decision possible, so this book investigates practical multiple criteria decision analysis applications and cases for healthcare management"--
ISBN: 9781668444078Subjects--Topical Terms:
892734
Medical Informatics
--Congresses.Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: R859.7.D42 / A44 2022eb
Dewey Class. No.: 610.285 $223
National Library of Medicine Call No.: W 26.55.D2 / A44 2022eb
AI-enabled multiple-criteria decision-making approaches for healthcare management
LDR
:02594nam a2200277 a 4500
001
1136309
006
m d
007
cr nn muauu
008
241218s2022 paua fob 001 0 eng d
020
$a
9781668444078
$q
(ebook)
020
$a
1668444054
$q
(hardcover)
020
$a
9781668444054
$q
(print)
035
$a
(OCoLC)1338230887
035
$a
00289944
040
$a
CaBNVSL
$b
eng
$c
CaBNVSL
$d
CaBNVSL
041
0
$a
eng
050
4
$a
R859.7.D42
$b
A44 2022eb
060
0 0
$a
W 26.55.D2
$b
A44 2022eb
082
0 4
$a
610.285 $223
245
0 0
$a
AI-enabled multiple-criteria decision-making approaches for healthcare management
$h
[electronic resource] /
$c
Sandeep Kautish, and Gaurav Dhiman, editors.
246
3
$a
Artificial intelligence-enabled multiple-criteria decision-making approaches for healthcare management
260
$a
Hershey, Pennsylvania :
$b
IGI Global,
$c
2022.
300
$a
1 online resource (274 p.) j:
$b
ill. (chiefly col.)
504
$a
Includes bibliographical references and index.
505
0
$a
Chapter 1. Real-time detection of cardiac arrest using deep learning -- Chapter 2. A study and analysis of deep neural networks for cancer using histopathology images -- Chapter 3. Artificial intelligence based on IoT for healthcare-- Chapter 4. Secure medical data transmission over wireless body area network using blockchain -- Chapter 5. AI-enabled augmented reality-based shared collaborative experience -- Chapter 6. A comparative study with linear regression and linear regression with fuzzy data for the same data set: LRFD -- Chapter 7. A comparative study of fuzzy linear and multi-objective optimization -- Chapter 8. Clustering and regression analysis on COVID-19 in India using python -- Chapter 9.Acomprehensive study of various fuzzy c-means clustering algorithms -- Chapter 10. Survey or review on the deep learning techniques for retinal image segmentation in predicting/diagnosing diabetic retinopathy -- Chapter 11. Adaptive clinical treatments and reinforcement learning for automatic disease diagnosis -- Chapter 12. AI-enabled internet of nano things methodology for healthcare information management.
520
$a
"The success of healthcare decision-making lies in whether healthcare staff, patients, and healthcare organization managers can comprehensively understand the choices and consider future implications to make the best decision possible, so this book investigates practical multiple criteria decision analysis applications and cases for healthcare management"--
$c
Provided by publisher.
650
2 2
$a
Medical Informatics
$v
Congresses.
$3
892734
650
2 2
$a
Decision Making
$v
Congresses.
$3
810869
650
2 2
$a
Health Care Sector
$3
1458773
650
0
$a
Artificial intelligence
$x
Medical applications.
$3
600038
650
0
$a
Multiple criteria decision making.
$3
574496
650
0
$a
Medical informatics.
$3
583858
650
0
$a
Medical care
$x
Decision making
$x
Data processing.
$3
1458772
655
4
$a
Electronic books.
$2
local
$3
554714
700
1
$a
Dhiman, Gaurav,
$d
1993-
$3
1458771
700
1
$a
Kautish, Sandeep,
$d
1981-
$e
editor.
$3
1371999
710
2
$a
IGI Global.
$3
805187
856
4 0
$u
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-4405-4
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入