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Innovation in Medicine and Healthcare

Proceedings of 11th KES-InMed 2023

Specificaties
Gebonden, blz. | Engels
Springer Nature Singapore | e druk, 2023
ISBN13: 9789819933105
Rubricering
Juridisch :
Springer Nature Singapore e druk, 2023 9789819933105
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

This 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.

Specificaties

ISBN13:9789819933105
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore

Inhoudsopgave

Designing 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.

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        Innovation in Medicine and Healthcare