東華大學圖書館 |

語系: 繁體中文

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

Disease prediction using machine lea...

Rani, Geeta.

FindBook

Google Book

Amazon

博客來

Disease prediction using machine learning, deep learning and data analytics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Disease prediction using machine learning, deep learning and data analytics/ edited by Geeta Rani, Vijaypal Singh Dhaka & Pradeep Kumar Tiwari.
其他作者:	Rani, Geeta.
出版者:	Singapore :Bentham Science Publishers, : 2024.,
面頁冊數:	1 online resource (210 p.) :ill. (some col.)
標題:	Deep learning (Machine learning) -
電子資源:	https://www.eurekaselect.com/ebook_volume/3676
ISBN:	9789815179125

Disease prediction using machine learning, deep learning and data analytics
Disease prediction using machine learning, deep learning and data analytics[electronic resource] /edited by Geeta Rani, Vijaypal Singh Dhaka & Pradeep Kumar Tiwari. - 1st ed. - Singapore :Bentham Science Publishers,2024. - 1 online resource (210 p.) :ill. (some col.)

Includes bibliographical references and index.

This book is a comprehensive review of technologies and data in healthcare services. It features a compilation of 10 chapters that inform readers about the recent research and developments in this field. Each chapter focuses on a specific aspect of healthcare services highlighting the potential impact of technology on enhancing practices and outcomes.The main features of the book include 1 referenced contributions from healthcare and data analytics experts 2 a broad range of topics that cover healthcare services and 3 demonstration of deep learning techniques for specific diseases. Key topics Federated learning in analysis of sensitive healthcare data while preserving privacy and security. Artificial intelligence for 3D bone image reconstruction. Detection of disease severity and creating personalized treatment plans using machine learning and software tools Case studies for disease detection methods for different disease and conditions including dementia asthma eye diseases Braincomputer interfaces Data mining for standardized electronic health records Data collection management and analysis in epidemiological research The book is a resource for learners and professionals in healthcare service training programs and health administration departments.

ISBN: 9789815179125Subjects--Topical Terms:

3538509
Deep learning (Machine learning)

LC Class. No.: R858

Dewey Class. No.: 610.285

Disease prediction using machine learning, deep learning and data analytics
LDR:02209cmm a2200265 a 4500 001 2416373
005 20251017072503.0
006 m o d
007 cr cnu---unuuu
008 260303s2024 si a ob 001 0 eng d
020 $a 9789815179125 $q (electronic bk.)
020 $z 9789815179149 $q (paperback)
020 $z 9789815179132
035 $a 9789815179125
040 $a MiAaPQ $b eng $c MiAaPQ $d MiAaPQ
041 0 $a eng
050 4 $a R858
082 0 4 $a 610.285 $2 23
245 0 0 $a Disease prediction using machine learning, deep learning and data analytics $h [electronic resource] / $c edited by Geeta Rani, Vijaypal Singh Dhaka & Pradeep Kumar Tiwari.
250 $a 1st ed.
260 $a Singapore : $b Bentham Science Publishers, $c 2024.
300 $a 1 online resource (210 p.) : $b ill. (some col.)
504 $a Includes bibliographical references and index.
520 $a This book is a comprehensive review of technologies and data in healthcare services. It features a compilation of 10 chapters that inform readers about the recent research and developments in this field. Each chapter focuses on a specific aspect of healthcare services highlighting the potential impact of technology on enhancing practices and outcomes.The main features of the book include 1 referenced contributions from healthcare and data analytics experts 2 a broad range of topics that cover healthcare services and 3 demonstration of deep learning techniques for specific diseases. Key topics Federated learning in analysis of sensitive healthcare data while preserving privacy and security. Artificial intelligence for 3D bone image reconstruction. Detection of disease severity and creating personalized treatment plans using machine learning and software tools Case studies for disease detection methods for different disease and conditions including dementia asthma eye diseases Braincomputer interfaces Data mining for standardized electronic health records Data collection management and analysis in epidemiological research The book is a resource for learners and professionals in healthcare service training programs and health administration departments.
588 $a Description based on print version record.
650 0 $a Deep learning (Machine learning) $3 3538509
650 0 $a Machine learning. $3 533906
650 0 $a Medical care $x Data processing. $3 661308
700 1 $a Rani, Geeta. $3 3795055
700 1 $a Dhaka, Vijaypal Singh. $3 3795056
700 1 $a Tiwari, Pradeep Kumar. $3 3795057
856 4 0 $u https://www.eurekaselect.com/ebook_volume/3676