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001442284 050_4 $$aR859.7.A78$$bH36 2022
001442284 08204 $$a610.285/63$$223
001442284 24500 $$aHandbook of artificial intelligence in healthcare.$$nVol. 1,$$pAdvances and applications /$$cChee-Peng Lim, Ashlesha Vaidya, Kiran Jain, Virag U. Mahorkar, Lakhmi C. Jain, editors.
001442284 24630 $$aAdvances and applications
001442284 264_1 $$aCham :$$bSpringer,$$c[2022]
001442284 264_4 $$c©2022
001442284 300__ $$a1 online resource :$$billustrations (chiefly color)
001442284 336__ $$atext$$btxt$$2rdacontent
001442284 337__ $$acomputer$$bc$$2rdamedia
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001442284 347__ $$bPDF
001442284 4901_ $$aIntelligent systems reference library,$$x1868-4408 ;$$vvolume 211
001442284 504__ $$aIncludes bibliographical references.
001442284 5050_ $$aAdvances in artificial intelligence for the identification of epileptiform discharges -- Characterizing EEG electrodes in directed functional brain networks using normalized transfer entropy and page rank -- Autistic verbal behaviour language parameterization -- Case studies to demonstrate real-world applications in ophthalmic image analysis -- Segmentation of petri plate images for automatic reporting of urine culture tests -- Repurposing routine imaging for cancer biomarker discovery using machine learning.
001442284 506__ $$aAccess limited to authorized users.
001442284 520__ $$aThis handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.
001442284 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 23, 2021).
001442284 650_0 $$aArtificial intelligence$$xMedical applications.
001442284 650_6 $$aIntelligence artificielle en médecine.
001442284 655_0 $$aElectronic books.
001442284 7001_ $$aLim, Chee-Peng,$$eeditor.
001442284 7001_ $$aVaidya, Ashlesha,$$eeditor.
001442284 7001_ $$aJain, Kiran,$$eeditor.
001442284 7001_ $$aMahorkar, Virag U.,$$eeditor.
001442284 7001_ $$aJain, Lakhmi C.,$$eeditor.
001442284 77608 $$iPrint version:$$z3030791602$$z9783030791605$$w(OCoLC)1252414331
001442284 830_0 $$aIntelligent systems reference library ;$$vv. 211.$$x1868-4408
001442284 852__ $$bebk
001442284 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-79161-2$$zOnline Access$$91397441.1
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