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AI applications for disease diagnosis and treatment

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI applications for disease diagnosis and treatment/ Rajae El Ouazzani, Muhammed Fattah, and Nabil Benamar, editors.
remainder title:	Artificial intelligence applications for disease diagnosis and treatment
other author:	Benamar, Nabil.
Published:	Hershey, Pennsylvania :IGI Global, : 2022.,
Description:	1 online resource (332 p.)
[NT 15003449]:	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.
Subject:	Artificial intelligence - Medical applications. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-2304-2
ISBN:	9781668423066 (electronic bk.)

AI applications for disease diagnosis and treatment
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:

900591
Artificial intelligence
--Medical applications.Index Terms--Genre/Form:

542853
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
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245 0 0 $a AI applications for disease diagnosis and treatment $h [electronic resource] / $c Rajae El Ouazzani, Muhammed Fattah, and Nabil Benamar, editors.
246 3 $a Artificial intelligence applications for disease diagnosis and treatment
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2022.
300 $a 1 online resource (332 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
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."
650 0 $a Artificial intelligence $x Medical applications. $3 900591
650 0 $a Machine learning. $3 533906
650 0 $a Medical informatics. $3 661258
650 1 2 $a Medical Informatics Applications $v Congresses. $3 2002773
650 2 2 $a Artificial intelligence $3 693196
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Benamar, Nabil. $3 3675515
700 1 $a Fattah, Muhammed. $3 3675516
700 1 $a Ouazzani, Rajae El. $3 3675517
710 2 $a IGI Global. $3 1361470
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-2304-2