LEADER 03716nam 22006375 450 001 9910523768003321 005 20230808192924.0 010 $a3-030-83620-7 024 7 $a10.1007/978-3-030-83620-7 035 $a(MiAaPQ)EBC6812326 035 $a(Au-PeEL)EBL6812326 035 $a(CKB)19919166000041 035 $a(OCoLC)1286660795 035 $a(DE-He213)978-3-030-83620-7 035 $a(PPN)258840307 035 $a(EXLCZ)9919919166000041 100 $a20211126d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook of Artificial Intelligence in Healthcare $eVol 2: Practicalities and Prospects /$fedited by Chee-Peng Lim, Yen-Wei Chen, Ashlesha Vaidya, Charu Mahorkar, Lakhmi C. Jain 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (429 pages) $cillustrations (some color) 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v212 311 08$aPrint version: Lim, Chee Peng Handbook of Artificial Intelligence in Healthcare Cham : Springer International Publishing AG,c2022 9783030836191 327 $aIntelligent paradigms for diagnosis, prediction and control in healthcare applications -- Artificial intelligence in healthcare practice: How to tackle the ?human? challenge -- A statistical analysis handbook for validating artificial intelligence techniques applied in healthcare. 330 $aArtificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will provide readers a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans. 410 0$aIntelligent Systems Reference Library,$x1868-4408 ;$v212 606 $aComputational intelligence 606 $aBiomedical engineering 606 $aArtificial intelligence 606 $aMedical informatics 606 $aComputational Intelligence 606 $aBiomedical Engineering and Bioengineering 606 $aArtificial Intelligence 606 $aHealth Informatics 615 0$aComputational intelligence. 615 0$aBiomedical engineering. 615 0$aArtificial intelligence. 615 0$aMedical informatics. 615 14$aComputational Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aArtificial Intelligence. 615 24$aHealth Informatics. 676 $a610.285 702 $aChee$b Peng Lim 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910523768003321 996 $aHandbook of artificial intelligence in healthcare$92885436 997 $aUNINA