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
Artificial intelligence in healthcar...
~
Talukdar, Jyotismita.
FindBook
Google Book
Amazon
博客來
Artificial intelligence in healthcare industry
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Artificial intelligence in healthcare industry/ by Jyotismita Talukdar, Thipendra P. Singh, Basanta Barman.
作者:
Talukdar, Jyotismita.
其他作者:
Singh, Thipendra P.
出版者:
Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:
ix, 202 p. :ill. (some col.), digital ;24 cm.
內容註:
Introduction to Human and Artificial Intelligence -- Knowledge Representation and Reasoning -- Methods of Machine Learning -- Supervised learning -- Unsupervised Learning -- Time-series analysis -- Artificial Intelligence in Healthcare -- Rule based expert systems -- Robotic Process Automation: A path to Intelligent Healthcare -- Tools and Technologies for implementing AI approaches in healthcare -- Learning Evaluation for Intelligence -- Ethics of Intelligence.
Contained By:
Springer Nature eBook
標題:
Artificial intelligence - Medical applications. -
電子資源:
https://doi.org/10.1007/978-981-99-3157-6
ISBN:
9789819931576
Artificial intelligence in healthcare industry
Talukdar, Jyotismita.
Artificial intelligence in healthcare industry
[electronic resource] /by Jyotismita Talukdar, Thipendra P. Singh, Basanta Barman. - Singapore :Springer Nature Singapore :2023. - ix, 202 p. :ill. (some col.), digital ;24 cm. - Advanced technologies and societal change,2191-6861. - Advanced technologies and societal change..
Introduction to Human and Artificial Intelligence -- Knowledge Representation and Reasoning -- Methods of Machine Learning -- Supervised learning -- Unsupervised Learning -- Time-series analysis -- Artificial Intelligence in Healthcare -- Rule based expert systems -- Robotic Process Automation: A path to Intelligent Healthcare -- Tools and Technologies for implementing AI approaches in healthcare -- Learning Evaluation for Intelligence -- Ethics of Intelligence.
This book presents a systematic evolution of artificial intelligence (AI), its applications, challenges and solutions in the field of healthcare. The book mainly covers the foundations and various methods of learning in artificial intelligence with its application in healthcare industry. This book provides a comprehensive introduction to data analysis using AI as a tool in the generation, normalization and analysis of healthcare data in association with several evaluation techniques and accuracy measurements. The book is divided into three major sections describing the basic foundations of AI and its associated algorithms, history of artificial intelligence in healthcare, recent developments and several modeling techniques for the same. The last section of the book provides insights into several implementations and methods of evaluation and accuracy prediction for healthcare analysis in AI. Extensive use of data for analysis and prediction using several technologies has transformed the lives of normal people indirectly effecting our process to communicate, learn, work and socialize within the society. Thus, the book also provides an insight into the ethics of AI that is very vital in the process of implementation and evaluation of healthcare data. The book provides an organized analysis to a considerable part of data in a digitized society. In view of this, it covers the theory, methodology, perfection and verification of empirical work for health-related data processing. Particular attention is devoted to in-depth experiments and applications.
ISBN: 9789819931576
Standard No.: 10.1007/978-981-99-3157-6doiSubjects--Topical Terms:
900591
Artificial intelligence
--Medical applications.
LC Class. No.: R859.7.A78
Dewey Class. No.: 610.28563
Artificial intelligence in healthcare industry
LDR
:03125nmm a2200337 a 4500
001
2332050
003
DE-He213
005
20230701085050.0
006
m d
007
cr nn 008maaau
008
240402s2023 si s 0 eng d
020
$a
9789819931576
$q
(electronic bk.)
020
$a
9789819931569
$q
(paper)
024
7
$a
10.1007/978-981-99-3157-6
$2
doi
035
$a
978-981-99-3157-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
R859.7.A78
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
610.28563
$2
23
090
$a
R859.7.A78
$b
T152 2023
100
1
$a
Talukdar, Jyotismita.
$3
3661588
245
1 0
$a
Artificial intelligence in healthcare industry
$h
[electronic resource] /
$c
by Jyotismita Talukdar, Thipendra P. Singh, Basanta Barman.
260
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2023.
300
$a
ix, 202 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Advanced technologies and societal change,
$x
2191-6861
505
0
$a
Introduction to Human and Artificial Intelligence -- Knowledge Representation and Reasoning -- Methods of Machine Learning -- Supervised learning -- Unsupervised Learning -- Time-series analysis -- Artificial Intelligence in Healthcare -- Rule based expert systems -- Robotic Process Automation: A path to Intelligent Healthcare -- Tools and Technologies for implementing AI approaches in healthcare -- Learning Evaluation for Intelligence -- Ethics of Intelligence.
520
$a
This book presents a systematic evolution of artificial intelligence (AI), its applications, challenges and solutions in the field of healthcare. The book mainly covers the foundations and various methods of learning in artificial intelligence with its application in healthcare industry. This book provides a comprehensive introduction to data analysis using AI as a tool in the generation, normalization and analysis of healthcare data in association with several evaluation techniques and accuracy measurements. The book is divided into three major sections describing the basic foundations of AI and its associated algorithms, history of artificial intelligence in healthcare, recent developments and several modeling techniques for the same. The last section of the book provides insights into several implementations and methods of evaluation and accuracy prediction for healthcare analysis in AI. Extensive use of data for analysis and prediction using several technologies has transformed the lives of normal people indirectly effecting our process to communicate, learn, work and socialize within the society. Thus, the book also provides an insight into the ethics of AI that is very vital in the process of implementation and evaluation of healthcare data. The book provides an organized analysis to a considerable part of data in a digitized society. In view of this, it covers the theory, methodology, perfection and verification of empirical work for health-related data processing. Particular attention is devoted to in-depth experiments and applications.
650
0
$a
Artificial intelligence
$x
Medical applications.
$3
900591
650
1 4
$a
Artificial Intelligence.
$3
769149
650
2 4
$a
Health Care.
$3
3538867
650
2 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Internet of Things.
$3
3538511
650
2 4
$a
Database Management.
$3
891010
700
1
$a
Singh, Thipendra P.
$3
3661589
700
1
$a
Barman, Basanta.
$3
3661590
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Advanced technologies and societal change.
$3
1569208
856
4 0
$u
https://doi.org/10.1007/978-981-99-3157-6
950
$a
Computer Science (SpringerNature-11645)
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
W9458255
電子資源
11.線上閱覽_V
電子書
EB R859.7.A78
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