Handbook of artificial intelligence in healthcare. Vol. 1, Advances and applications / Chee-Peng Lim, Ashlesha Vaidya, Kiran Jain, Virag U. Mahorkar, Lakhmi C. Jain, editors.
2022
R859.7.A78 H36 2022
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Title
Handbook of artificial intelligence in healthcare. Vol. 1, Advances and applications / Chee-Peng Lim, Ashlesha Vaidya, Kiran Jain, Virag U. Mahorkar, Lakhmi C. Jain, editors.
ISBN
9783030791612 (electronic bk.)
3030791610 (electronic bk.)
9783030791605
3030791602
3030791610 (electronic bk.)
9783030791605
3030791602
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color)
Other Standard Identifiers
10.1007/978-3-030-79161-2 doi
Call Number
R859.7.A78 H36 2022
Dewey Decimal Classification
610.285/63
Summary
This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 23, 2021).
Added Author
Lim, Chee-Peng, editor.
Vaidya, Ashlesha, editor.
Jain, Kiran, editor.
Mahorkar, Virag U., editor.
Jain, Lakhmi C., editor.
Vaidya, Ashlesha, editor.
Jain, Kiran, editor.
Mahorkar, Virag U., editor.
Jain, Lakhmi C., editor.
Series
Intelligent systems reference library ; v. 211. 1868-4408
Available in Other Form
Print version: 9783030791605
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Table of Contents
Advances in artificial intelligence for the identification of epileptiform discharges
Characterizing EEG electrodes in directed functional brain networks using normalized transfer entropy and page rank
Autistic verbal behaviour language parameterization
Case studies to demonstrate real-world applications in ophthalmic image analysis
Segmentation of petri plate images for automatic reporting of urine culture tests
Repurposing routine imaging for cancer biomarker discovery using machine learning.
Characterizing EEG electrodes in directed functional brain networks using normalized transfer entropy and page rank
Autistic verbal behaviour language parameterization
Case studies to demonstrate real-world applications in ophthalmic image analysis
Segmentation of petri plate images for automatic reporting of urine culture tests
Repurposing routine imaging for cancer biomarker discovery using machine learning.