LEADER 01591nam 2200421 450 001 9910583373503321 005 20230120002717.0 010 $a0-323-49596-6 010 $a0-323-48555-3 035 $a(CKB)4100000000864119 035 $a(MiAaPQ)EBC5252993 035 $a(EXLCZ)994100000000864119 100 $a20180221h20182018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aPediatric cancer genetics /$fNathaniel H. Robin, Meagan B. Farmer 210 1$aSt. Louis, Missouri :$cElsevier,$d2018. 210 4$d©2018 215 $a1 online resource (124 pages) $cillustrations (some color), charts 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aEpidemiology of childhood cancer -- The genetic evaluation of a child with cancer -- Genetic counseling -- Cancer genetics and biology -- Genetic syndromes with an associated cancer risk -- Cancer syndromes that present in childhood -- Ethical and legal issues -- Multidisciplinary care of the pediatric cancer patient -- Case examples -- Index. 606 $aCancer in children 606 $aCancer$xGenetic aspects 615 0$aCancer in children. 615 0$aCancer$xGenetic aspects. 676 $a618.92994 700 $aRobin$b Nathaniel H.$0926000 702 $aFarmer$b Meagan B. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910583373503321 996 $aPediatric cancer genetics$92079023 997 $aUNINA LEADER 03717nam 2200529 450 001 9910484050503321 005 20230522162957.0 010 $a981-16-0811-3 024 7 $a10.1007/978-981-16-0811-7 035 $a(CKB)4100000011918712 035 $a(DE-He213)978-981-16-0811-7 035 $a(MiAaPQ)EBC6607150 035 $a(Au-PeEL)EBL6607150 035 $a(OCoLC)1250304658 035 $a(PPN)255887590 035 $a(EXLCZ)994100000011918712 100 $a20220118d2021 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial intelligence and machine learning in healthcare /$fAnkur Saxena, Shivani Chandra 205 $a1st ed. 2021. 210 1$aGateway East, Singapore :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (XIX, 228 p. 119 illus., 88 illus. in color.) 311 $a981-16-0810-5 327 $aChapter 1_Big Data Analytics and AI for Healthcare -- Chapter 2_Genetics with Big Data and AI -- Chapter 3_AI and Big Data for next-generation sequencing -- Chapter 4_Artificial Intelligence for Computational Biology -- Chapter 5_Artificial intelligence and machine learning in clinical development -- Chapter 6_Big data analytics for personalized medicine -- Chapter 7_Generating and Managing Healthcare data with AI -- Chapter 8_Big Data and Artificial Intelligence for diseases -- Chapter 9_Artificial Intelligence and Big Data for Public Health -- Chapter 10_Biasness in Healthcare Big Data and Computational Algorithms -- Chapter 11_AI and ML in Healthcare: An Ethical perspective. 330 $aThis book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare. 606 $aArtificial intelligence$xMedical applications 606 $aIntel·ligència artificial en medicina$2thub 606 $aAprenentatge automàtic$2thub 608 $aLlibres electrònics$2thub 615 0$aArtificial intelligence$xMedical applications. 615 7$aIntel·ligència artificial en medicina 615 7$aAprenentatge automàtic 676 $a610.285 700 $aSaxena$b Ankur$01074806 702 $aChandra$b Shivani 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484050503321 996 $aArtificial intelligence and machine learning in healthcare$92581921 997 $aUNINA