| Description |
1 online resource (xix, 499 pages) : illustrations (some color) |
| Series |
Studies in Health Technology and Informatics, 1879-8365 ; 272 |
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Studies in health technology and informatics ; 272. 0926-9630
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| Contents |
Intro -- Title Page -- Preface -- Scientific Programme Committee and Reviewers -- Contents -- Unsupervised Machine Learning for the Discovery of Latent Clusters in COVID-19 Patients Using Electronic Health Records -- Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research -- E-Health in Norway Before and During the Initial Phase of the Covid-19 Pandemic -- Setting up an Easy-to-Use Machine Learning Pipeline for Medical Decision Support: A Case Study for COVID-19 Diagnosis Based on Deep Learning with CT Scans |
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Evidence-Based Health Intelligence with Globally Localized Epidemic Knowledge Base: Merging Pathological Data, Socio-Environmental Data and Intervention Knowledge Data -- Epidemiological Analysis of the Covid-19 Epidemic in Greece -- Application of Topic Modeling to Tweets as the Foundation for Health Disparity Research for COVID-19 -- 200 Years Since the Birth of Nursing Informatics? -- Remote Monitoring of Patients in Quarantine in the Era of SARS-CoV-2 Pandemic -- Safety Justification of Healthcare Applications Using Synthetic Datasets |
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Lessons Learned: Implementation of a Nationwide Innovative E-Learning Module for Health Enabling Technologies -- The Mishandling of Anonymity in Terms of Medical Research Within the General Data Protection Regulation -- Legal Challenges for IT Service Providers in Pharmacogenomics -- Comparison of Machine Learning Algorithms for Classifying Adverse-Event Related 30-Day Hospital Readmissions: Potential Implications for Patient Safety -- Semiautomated Approach for Muscle Weakness Detection in Clinical Texts |
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Confirmatory Factors to Nursing Practice for Patient Safety of Nurses in Kalasin Hospital, Kalasin Province, Thailand -- Patient Awareness of the Severity of Their Information and Medication Management-Related Adverse Events -- The Quality Improvement Information System for Surveillance and Monitoring for Patient Safety and Personal Safety in Kalasin Hospital, Kalasin Province, Thailand -- Iconic Visualization of Sickle Cell Patients Current and Past Health Status -- Using Machine Learning Algorithms to Predict Antimicrobial Resistance and Assist Empirical Treatment |
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Process Coverage and Use Case Support of Health Registry Software in Germany -- Enhancing Medical Education with Data-Driven Software: The TrainCoMorb App -- Evaluating the Students' View of Medical and Paramedical Sciences About Perceived Benefits and Barriers of Virtual Social Networks for Learning Purposes -- Visualization of Potential Drug Synergies -- Use of Natural Language Processing for Precise Retrieval of Key Elements of Health IT Evaluation Studies -- Local Distortion Hiding Algorithm in Medical Data: A Case Study Using CART |
| Summary |
"The COVID-19 pandemic has increased the focus on health informatics and healthcare technology for policy makers and healthcare professionals worldwide. This book contains the 110 papers (from 160 submissions) accepted for the 18th annual International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2020), held virtually in Athens, Greece, from 3 - 5 July 2020. The conference attracts scientists working in the field of Biomedical and Health Informatics from all continents, and this year it was held as a Virtual Conference, by means of teleconferencing, due to the COVID-19 pandemic and the consequent lockdown in many countries around the world. The call for papers for the conference started in December 2019, when signs of the new virus infection were not yet evident, so early submissions were on the usual topics as announced. But papers submitted after mid-March were mostly focused on the first results of the pandemic analysis with respect to informatics in different countries and with different perspectives of the spread of the virus and its influence on public health across the world. This book therefore includes papers on the topic of the COVID-19 pandemic in relation to informatics reporting from hospitals and institutions from around the world, including South Korea, Europe, and the USA. The book encompasses the field of biomedical and health informatics in a very broad framework, and the timely inclusion of papers on the current pandemic will make it of particular interest to all those involved in the provision of healthcare everywhere"--Publisher's description |
| Bibliography |
Includes bibliographical references and indexes |
| Notes |
Online resource; title from electronic title page (IOS Press, viewed on October 28, 2020) |
| Subject |
Medical informatics -- Congresses
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COVID-19 (Disease) -- Congresses
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Virus diseases -- Congresses
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COVID-19 (Disease)
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Public health.
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Pandemics.
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Medical Informatics
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COVID-19
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Betacoronovirus
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Pandemics
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Public Health
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public health.
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pandemics.
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Public health
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COVID-19 (Disease)
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Medical informatics
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Virus diseases
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Mantas, J. (John), editor.
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Hasman, Arie, editor.
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Househ, Mowafa, 1977- editor.
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Gallos, Parisis, editor.
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Zoulias, Emmanuel I., editor.
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| ISBN |
9781643680934 |
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1643680935 |
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