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
Artificial Intelligence and Machine ...
~
Chandra, Shivani.
Artificial Intelligence and Machine Learning in Healthcare
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Artificial Intelligence and Machine Learning in Healthcare / edited by Ankur Saxena, Shivani Chandra.
其他作者:
Chandra, Shivani.
面頁冊數:
XV, 228 p. 119 illus., 88 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Artificial Intelligence. -
電子資源:
https://doi.org/10.1007/978-981-16-0811-7
ISBN:
9789811608117
Artificial Intelligence and Machine Learning in Healthcare
Artificial Intelligence and Machine Learning in Healthcare
[electronic resource] /edited by Ankur Saxena, Shivani Chandra. - 1st ed. 2021. - XV, 228 p. 119 illus., 88 illus. in color.online resource.
Chapter 1_Big Data Analytics and AI for Healthcare -- Chapter 2_Genetics with Big Data and AI -- Chapter 3_AI and Big Data for next-generation sequencing -- Chapter 4_Artificial Intelligence for Computational Biology -- Chapter 5_Artificial intelligence and machine learning in clinical development -- Chapter 6_Big data analytics for personalized medicine -- Chapter 7_Generating and Managing Healthcare data with AI -- Chapter 8_Big Data and Artificial Intelligence for diseases -- Chapter 9_Artificial Intelligence and Big Data for Public Health -- Chapter 10_Biasness in Healthcare Big Data and Computational Algorithms -- Chapter 11_AI and ML in Healthcare: An Ethical perspective.
This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.
ISBN: 9789811608117
Standard No.: 10.1007/978-981-16-0811-7doiSubjects--Topical Terms:
646849
Artificial Intelligence.
LC Class. No.: QH324.2-324.25
Dewey Class. No.: 570.285
Artificial Intelligence and Machine Learning in Healthcare
LDR
:03457nam a22004095i 4500
001
1053872
003
DE-He213
005
20210721133453.0
007
cr nn 008mamaa
008
220103s2021 si | s |||| 0|eng d
020
$a
9789811608117
$9
978-981-16-0811-7
024
7
$a
10.1007/978-981-16-0811-7
$2
doi
035
$a
978-981-16-0811-7
050
4
$a
QH324.2-324.25
072
7
$a
PSD
$2
bicssc
072
7
$a
SCI056000
$2
bisacsh
072
7
$a
PSD
$2
thema
072
7
$a
UB
$2
thema
082
0 4
$a
570.285
$2
23
245
1 0
$a
Artificial Intelligence and Machine Learning in Healthcare
$h
[electronic resource] /
$c
edited by Ankur Saxena, Shivani Chandra.
250
$a
1st ed. 2021.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2021.
300
$a
XV, 228 p. 119 illus., 88 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
Chapter 1_Big Data Analytics and AI for Healthcare -- Chapter 2_Genetics with Big Data and AI -- Chapter 3_AI and Big Data for next-generation sequencing -- Chapter 4_Artificial Intelligence for Computational Biology -- Chapter 5_Artificial intelligence and machine learning in clinical development -- Chapter 6_Big data analytics for personalized medicine -- Chapter 7_Generating and Managing Healthcare data with AI -- Chapter 8_Big Data and Artificial Intelligence for diseases -- Chapter 9_Artificial Intelligence and Big Data for Public Health -- Chapter 10_Biasness in Healthcare Big Data and Computational Algorithms -- Chapter 11_AI and ML in Healthcare: An Ethical perspective.
520
$a
This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Medicine/Public Health, general.
$3
668810
650
2 4
$a
Health Care Management.
$3
1019864
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Medicine.
$3
644133
650
0
$a
Health services administration.
$3
564005
650
0
$a
Health care management.
$3
1148454
650
0
$a
Bioinformatics.
$3
583857
700
1
$a
Chandra, Shivani.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1358817
700
1
$a
Saxena, Ankur.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1358816
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811608100
776
0 8
$i
Printed edition:
$z
9789811608124
776
0 8
$i
Printed edition:
$z
9789811608131
856
4 0
$u
https://doi.org/10.1007/978-981-16-0811-7
912
$a
ZDB-2-SBL
912
$a
ZDB-2-SXB
950
$a
Biomedical and Life Sciences (SpringerNature-11642)
950
$a
Biomedical and Life Sciences (R0) (SpringerNature-43708)
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