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The importance of health informatics in public health during a pandemic /

"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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: International Conference on Informatics, Management, and Technology in Healthcare Athens, Greece
Otros Autores: Mantas, J. (John) (Editor ), Hasman, Arie (Editor ), Househ, Mowafa, 1977- (Editor ), Gallos, Parisis (Editor ), Zoulias, Emmanuel I. (Editor )
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Amsterdam : IOS Press, [2020]
Colección:Studies in health technology and informatics ; 272.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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
  • 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
  • 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
  • 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
  • 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