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AI applications for disease diagnosis and treatment
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
AI applications for disease diagnosis and treatmentRajae 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 intelligenceMedical applications.
電子資源:
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:
237917
Artificial intelligence
--Medical applications.Index Terms--Genre/Form:
214472
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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Rajae El Ouazzani, Muhammed Fattah, and Nabil Benamar, editors.
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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.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-2304-2
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