大葉大學圖書館 |

AI applications for disease diagnosis and treatment[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	610.285
書名/作者:	AI applications for disease diagnosis and treatment/ Rajae El Ouazzani, Muhammed Fattah, and Nabil Benamar, editors.
其他題名:	Artificial intelligence applications for disease diagnosis and treatment
其他作者:	Benamar, Nabil.
出版者:	Hershey, Pennsylvania : : IGI Global,, 2022.
面頁冊數:	1 online resource (332 p.)
標題:	Artificial intelligence - Medical applications.
標題:	Machine learning.
標題:	Medical informatics.
標題:	Medical Informatics Applications - Congresses.
標題:	Artificial intelligence
ISBN:	9781668423066 (electronic bk.)
ISBN:	9781668423042
ISBN:	1668423065
書目註:	Includes bibliographical references and index.
內容註:	Section 1. AI opportunities and challenges in healthcare. Chapter 1. Machine learning in healthcare: theory, applications, and future trends -- Section 2. Diagnosis and treatment of some common diseases using AI. Chapter 2. A mobilehealth application for monitoring children with autism spectrum disorder: ASD monitoring by mHealth ; Chapter 3. Artificial intelligence aiding medical diagnosis focusing on diabetic retinopathy ; Chapter 4. Fully automatic epiretinal membrane segmentation in OCT scans using convolutional networks ; Chapter 5. A lightweight CNN to identify cardiac arrhythmia using 2D ECG images -- Section 3. COVID-19 diagnosis and treatment using AI. Chapter 6. Intelligibility of nonparametric survival analysis for health security policy evaluation: application to the analysis of COVID-19 data ; Chapter 7. Deep learning applied to COVID-19 detection in X-Ray images ; Chapter 8. Generation of novel synthetic portable chest X-Rayimages for automatic COVID-19 screening.
摘要、提要註:	"This book studies the application of AI tools on healthcare such as machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, and implementation of healthcare solutions, exploring many healthcare research topics such as disease diagnosis and assistance, diet proposal, physical and psychological assistance, and drug prescription and trucking."
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-2304-2

AI applications for disease diagnosis and treatment[electronic resource] /
AI applications for disease diagnosis and treatment[electronic resource] /Artificial intelligence applications for disease diagnosis and treatmentRajae El Ouazzani, Muhammed Fattah, and Nabil Benamar, editors. - Hershey, Pennsylvania :IGI Global,2022. - 1 online resource (332 p.)

Includes bibliographical references and index.

Section 1. AI opportunities and challenges in healthcare. Chapter 1. Machine learning in healthcare: theory, applications, and future trends -- Section 2. Diagnosis and treatment of some common diseases using AI. Chapter 2. A mobilehealth application for monitoring children with autism spectrum disorder: ASD monitoring by mHealth ; Chapter 3. Artificial intelligence aiding medical diagnosis focusing on diabetic retinopathy ; Chapter 4. Fully automatic epiretinal membrane segmentation in OCT scans using convolutional networks ; Chapter 5. A lightweight CNN to identify cardiac arrhythmia using 2D ECG images -- Section 3. COVID-19 diagnosis and treatment using AI. Chapter 6. Intelligibility of nonparametric survival analysis for health security policy evaluation: application to the analysis of COVID-19 data ; Chapter 7. Deep learning applied to COVID-19 detection in X-Ray images ; Chapter 8. Generation of novel synthetic portable chest X-Rayimages for automatic COVID-19 screening.

"This book studies the application of AI tools on healthcare such as machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, and implementation of healthcare solutions, exploring many healthcare research topics such as disease diagnosis and assistance, diet proposal, physical and psychological assistance, and drug prescription and trucking."

ISBN: 9781668423066 (electronic bk.)Subjects--Topical Terms:

340376
Artificial intelligence
--Medical applications.Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: R859.7.A78 / A33 2022eb

Dewey Class. No.: 610.285

National Library of Medicine Call No.: W 26.5 / .A33 2022eb

AI applications for disease diagnosis and treatment[electronic resource] /
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504 $a Includes bibliographical references and index.
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520 3 $a "This book studies the application of AI tools on healthcare such as machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, and implementation of healthcare solutions, exploring many healthcare research topics such as disease diagnosis and assistance, diet proposal, physical and psychological assistance, and drug prescription and trucking."
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