Librarian View
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9783030791612
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10.1007/978-3-030-79161-2
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doi
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(DE-He213)978-3-030-79161-2
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Q342
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Handbook of Artificial Intelligence in Healthcare
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[electronic resource] :
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Vol. 1 - Advances and Applications /
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edited by Chee-Peng Lim, Ashlesha Vaidya, Kiran Jain, Virag U. Mahorkar, Lakhmi C. Jain.
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1st ed. 2022.
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Cham :
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Springer International Publishing :
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Imprint: Springer,
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2022.
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1 online resource (XVII, 456 p.) 154 illus., 133 illus. in color.
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text
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txt
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rdacontent
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computer
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rdamedia
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online resource
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cr
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rdacarrier
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text file
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PDF
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rda
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Intelligent Systems Reference Library,
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1868-4408 ;
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211
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0
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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.
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Access restricted by licensing agreement.
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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.
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Access is available to the Yale community.
650
0
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Computational intelligence.
650
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Biomedical engineering.
650
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Medical informatics.
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1
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Lim, Chee-Peng.
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editor.
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edt
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http://id.loc.gov/vocabulary/relators/edt
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1
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Vaidya, Ashlesha.
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editor.
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edt
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http://id.loc.gov/vocabulary/relators/edt
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1
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Jain, Kiran.
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editor.
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edt
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http://id.loc.gov/vocabulary/relators/edt
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1
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Mahorkar, Virag U.
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editor.
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edt
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http://id.loc.gov/vocabulary/relators/edt
700
1
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Jain, Lakhmi C.
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editor.
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edt
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http://id.loc.gov/vocabulary/relators/edt
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2
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SpringerLink (Online service)
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Springer ENIN.
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Springer Nature eBook
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8
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Printed edition:
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9783030791605
776
0
8
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Printed edition:
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9783030791629
776
0
8
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Printed edition:
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9783030791636
830
0
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Intelligent Systems Reference Library,
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1868-4408 ;
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211
852
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0
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yulint
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None
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Online resource
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8
0
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Online resource
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Online book
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https://yale.idm.oclc.org/login?URL=https://doi.org/10.1007/978-3-030-79161-2
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Q342
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Yale Internet Resource
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Yale Internet Resource >> None|DELIM|16061388
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online resource
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2022-01-27T14:11:28.000Z
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DO NOT EDIT. DO NOT EXPORT.
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https://doi.org/10.1007/978-3-030-79161-2