LEADER 03905nam 22006375 450 001 9910728386203321 005 20251113201526.0 010 $a981-9933-11-0 024 7 $a10.1007/978-981-99-3311-2 035 $a(MiAaPQ)EBC30555910 035 $a(Au-PeEL)EBL30555910 035 $a(OCoLC)1381094126 035 $a(DE-He213)978-981-99-3311-2 035 $a(BIP)091289111 035 $a(PPN)270614265 035 $a(CKB)26806716100041 035 $a(EXLCZ)9926806716100041 100 $a20230530d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInnovation in Medicine and Healthcare $eProceedings of 11th KES-InMed 2023 /$fedited by Yen-Wei Chen, Satoshi Tanaka, R. J. Howlett, Lakhmi C. Jain 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (402 pages) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v357 311 08$aPrint version: Chen, Yen-Wei Innovation in Medicine and Healthcare Singapore : Springer,c2023 9789819933105 327 $aDesigning deep learning architectures with neuroevolution. Study case: fetal morphology scan -- Optimized Deployment Planning for Elderly Welfare Facilities Based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly -- Online Parent Counselling in Speech and Language Therapy - the View of the Professionals -- Modelling Competing Risk for Stroke Survival Data -- Artificial Intelligence Chatbots and Conversational Agents - an Overview of Clinical Studies in Health Care -- Challenges and Solutions for Artificial Intelligence Adoption in Healthcare ? A Literature Review -- An Explainable Deep Network Framework with Case-based Reasoning Strategies for Survival Analysis in Oncology -- Healthcare under Society 5.0: A Systematic Literature Review of Applications and Case Studies -- Strategic Risk Management for Low-Code Development Platforms with Enterprise Architecture Approach: Case of Global Pharmaceutical Enterprise -- Optimized Deployment Planning forElderly Welfare Facilities based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly -- Characterizing Groups of Patients with Depression using Clustering Techniques. 330 $aThis book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-23), held in Rome, Italy, on June 14?16, 2023. Covering a number of key areas, including digital IT architecture in healthcare; advanced ICT for medicine and healthcare; biomedical engineering, trends, research and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields. 410 0$aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v357 606 $aComputational intelligence 606 $aMedical informatics 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aHealth Informatics 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aMedical informatics. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aHealth Informatics. 615 24$aArtificial Intelligence. 676 $a610 700 $aChen$b Yen-Wei$01362820 701 $aTanaka$b Satoshi$01327927 701 $aHowlett$b R. J$01361154 701 $aJain$b L. C$01601441 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910728386203321 996 $aInnovation in Medicine and Healthcare$94475047 997 $aUNINA