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001434537 001__ 1434537
001434537 003__ OCoLC
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001434537 0247_ $$a10.1007/978-981-33-4698-7$$2doi
001434537 035__ $$aSP(OCoLC)1240211341
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001434537 050_4 $$aR859.7.M33
001434537 050_4 $$aTA1-2040
001434537 08204 $$a610.285/63$$223
001434537 24500 $$aTechnical advancements of machine learning in healthcare /$$cHrudaya Kumar Tripathy, Sushruta Mishra, Pradeep Kumar Mallick, Amiya Ranjan Panda, editors.
001434537 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001434537 300__ $$a1 online resource
001434537 336__ $$atext$$btxt$$2rdacontent
001434537 337__ $$acomputer$$bc$$2rdamedia
001434537 338__ $$aonline resource$$bcr$$2rdacarrier
001434537 347__ $$atext file
001434537 347__ $$bPDF
001434537 4901_ $$aStudies in computational intelligence ;$$vvolume 936
001434537 5050_ $$aInnovation on Machine Learning in Healthcare Services -- An Introduction -- Big Data Application in Health Care: A Study -- Empirical Study on Different Feature Selection and Classification Algorithms for Prediction of Hepatitis Disease -- Meta Cognitive Neural Network for Emphysema Classification -- Analysis of Gaussian & Cauchy Mutations in K-Means Particle Swarm Optimization Algorithm for Data Clustering -- Emergence of Drug Discovery in Machine Learning -- Deep Learning Frameworks in Healthcare systems -- Deep Learning Neural Network and CNN based Diagnosis of Heart Diseases -- Deep learning model for efficient mammogram analysis.
001434537 506__ $$aAccess limited to authorized users.
001434537 520__ $$aThis book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries, healthcare. It presents recent research works based on machine learning approaches supported by medical and information communication technologies with the use of data and image analysis. The book presents insight about techniques which broadly deals in delivery of quality, accurate and affordable healthcare solutions by predictive, proactive and preventative methods. The book also explores the possible use of machine learning in enterprises, such as enhanced medical imaging/diagnostics, understanding medical data, drug discovery and development, robotic surgery and automation, radiation treatments, creating electronic smart records and outbreak prediction.
001434537 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 29, 2021).
001434537 650_0 $$aMachine learning.
001434537 650_0 $$aArtificial intelligence$$xMedical applications.
001434537 650_0 $$aMedical innovations.
001434537 650_6 $$aApprentissage automatique.
001434537 650_6 $$aIntelligence artificielle en médecine.
001434537 650_6 $$aMédecine$$xInnovations.
001434537 655_0 $$aElectronic books.
001434537 7001_ $$aTripathy, Hrudaya Kumar,$$eeditor.
001434537 7001_ $$aMishra, Sushruta,$$eeditor.
001434537 7001_ $$aMallick, Pradeep Kumar,$$d1984-$$eeditor.
001434537 7001_ $$aPanda, Amiya Ranjan,$$eeditor.
001434537 77608 $$iPrint version:$$tTechnical advancements of machine learning in healthcare.$$dSingapore : Springer, [2021]$$z9813346973$$z9789813346970$$w(OCoLC)1202741839
001434537 830_0 $$aStudies in computational intelligence ;$$vv. 936.
001434537 852__ $$bebk
001434537 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-4698-7$$zOnline Access$$91397441.1
001434537 909CO $$ooai:library.usi.edu:1434537$$pGLOBAL_SET
001434537 980__ $$aBIB
001434537 980__ $$aEBOOK
001434537 982__ $$aEbook
001434537 983__ $$aOnline
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