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Titlebook: Innovation in Medicine and Healthcare; Proceedings of 9th K Yen-Wei Chen,Satoshi Tanaka,Lakhmi C. Jain Conference proceedings 2021 The Edit

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书目名称Innovation in Medicine and Healthcare
副标题Proceedings of 9th K
编辑Yen-Wei Chen,Satoshi Tanaka,Lakhmi C. Jain
视频video
概述Presents research works in the field of innovation in medicine and healthcare.Provides original works presented at KES-InMed 2021 held virtually.Serves as a reference for researchers and practitioners
丛书名称Smart Innovation, Systems and Technologies
图书封面Titlebook: Innovation in Medicine and Healthcare; Proceedings of 9th K Yen-Wei Chen,Satoshi Tanaka,Lakhmi C. Jain Conference proceedings 2021 The Edit
描述This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-21), held virtually on June 14–16, 2021. 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.
出版日期Conference proceedings 2021
关键词InMed 2020; InMed-KES Proceedings; Digital Architecture; Digital Healthcare; Health Informatics; Innovati
版次1
doihttps://doi.org/10.1007/978-981-16-3013-2
isbn_softcover978-981-16-3015-6
isbn_ebook978-981-16-3013-2Series ISSN 2190-3018 Series E-ISSN 2190-3026
issn_series 2190-3018
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Influence of Telehealth Intervention on Knowledge of Danger Signs in Pregnancy, Childbirth and Postpl in person is limited in Peru. The objective of the research was to evaluate the influence of a telehealth intervention on the knowledge of danger signs in pregnancy, childbirth and postpartum in pregnant women during the health emergency due to COVID-19. A quasi-experimental research was carried o
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IDH Mutation Status Prediction by Modality-Self Attention NetworkA strong relationship exists between IDH mutation status and glioma prognosis. The preoperative prediction of IDH status is essential for the treatment of gliomas. However, the existing medical methods cannot predict IDH status before an operation. In this study, we propose a modality self-attention
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