Description:
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.