001442053 000__ 04249cam\a2200637\i\4500
001442053 001__ 1442053
001442053 003__ OCoLC
001442053 005__ 20230310003310.0
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001442053 019__ $$a1260340434$$a1266809372
001442053 020__ $$a9783030767327$$q(electronic bk.)
001442053 020__ $$a3030767329$$q(electronic bk.)
001442053 020__ $$z9783030767310
001442053 020__ $$z3030767310
001442053 0247_ $$a10.1007/978-3-030-76732-7$$2doi
001442053 035__ $$aSP(OCoLC)1261367142
001442053 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDX$$dOCLCO$$dGW5XE$$dOCLCO$$dOCLCF$$dDCT$$dN$T$$dOCLCO$$dCOM$$dOCLCQ
001442053 049__ $$aISEA
001442053 050_4 $$aR859.7.A78$$bT73 2022
001442053 08204 $$a610.28563$$223
001442053 24500 $$aTracking and preventing diseases with artificial intelligence /$$cMayuri Mehta, Philippe Fournier-Viger, Maulika Patel, Jerry Chun-Wei Lin, editors.
001442053 264_1 $$aCham :$$bSpringer,$$c[2022]
001442053 264_4 $$c©2022
001442053 300__ $$a1 online resource (266 pages) :$$billustrations (some color)
001442053 336__ $$atext$$btxt$$2rdacontent
001442053 337__ $$acomputer$$bc$$2rdamedia
001442053 338__ $$aonline resource$$bcr$$2rdacarrier
001442053 347__ $$atext file
001442053 347__ $$bPDF
001442053 4901_ $$aIntelligent systems reference library ;$$vvolume 206
001442053 5050_ $$aStress Identification from Speech using Clustering techniques -- Comparative Study and Detection of COVID-19 and Related Viral Pneumonia using a Fine-tuned Deep Transfer Learning -- Predicting Glaucoma Diagnosis using AI -- Diagnosis and Analysis of Tuberculosis Disease using Simple Neural Network and Deep Learning Approach for Chest X-ray Images -- Adaptive Machine Learning Algorithm and Analytics of Big Genomic Data for Gene Prediction.
001442053 506__ $$aAccess limited to authorized users.
001442053 520__ $$aThis book presents an overview of how machine learning and data mining techniques are used for tracking and preventing diseases. It covers several aspects such as stress level identification of a person from his/her speech, automatic diagnosis of disease from X-ray images, intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells, information retrieval from electronic medical record using named entity recognition approaches, and prediction of drug-target interactions. The book is suitable for computer scientists having a bachelor degree in computer science. The book is an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care. Researchers working in the multidisciplinary areas use this book to discover the current developments. Besides its use in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases. Medical institutions use this book as reference material and give tutorials to medical experts on how the advanced AI and ML techniques contribute to the diagnosis and prediction of the diseases.
001442053 588__ $$aDescription based on print version record.
001442053 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 29, 2021).
001442053 650_0 $$aArtificial intelligence$$xMedical applications.
001442053 650_0 $$aEpidemiology.
001442053 650_0 $$aMedicine, Preventive.
001442053 650_6 $$aIntelligence artificielle en médecine.
001442053 650_6 $$aÉpidémiologie.
001442053 650_6 $$aMédecine préventive.
001442053 655_0 $$aElectronic books.
001442053 7001_ $$aMehta, Mayuri,$$eeditor.
001442053 7001_ $$aFournier-Viger, Philippe,$$eeditor.
001442053 7001_ $$aPatel, Maulika,$$eeditor.
001442053 7001_ $$aLin, Jerry Chun-Wei,$$eeditor.
001442053 77608 $$iPrint version:$$aMehta, Mayuri.$$tTracking and Preventing Diseases with Artificial Intelligence.$$dCham : Springer International Publishing AG, ©2021$$z9783030767310
001442053 830_0 $$aIntelligent systems reference library ;$$vv. 206.
001442053 852__ $$bebk
001442053 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-76732-7$$zOnline Access$$91397441.1
001442053 909CO $$ooai:library.usi.edu:1442053$$pGLOBAL_SET
001442053 980__ $$aBIB
001442053 980__ $$aEBOOK
001442053 982__ $$aEbook
001442053 983__ $$aOnline
001442053 994__ $$a92$$bISE