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LEADER 00000cam  2200733Ii 4500 
001    on1198018374 
003    OCoLC 
005    20211004213025.0 
006    m     o  d         
007    cr ||||||||||| 
008    200929t20202020ne a    ob    001 0 eng d 
020    9781643680934|qelectronic book 
020    1643680935|qelectronic book 
035    (OCoLC)1198018374 
040    YDX|beng|erda|cYDX|dN$T|dBNG|dEBLCP|dMUU|dOCLCO|dOCLCF
       |dIOSPR|dOCLCO|dOCL|dOCLCA|dCUS 
049    CKEA 
050  4 R858.A2 
060  4 W 26.5 
082 04 610.285|223 
111 2  International Conference on Informatics, Management, and 
       Technology in Healthcare|n(18th :|d2020 :|cAthens, Greece),
       |jauthor. 
245 14 The importance of health informatics in public health 
       during a pandemic /|cedited by J. Mantas, Arie Hasman, 
       Mowafa S. Househ, Parisis Gallos and Emmanouil Zoulias. 
264  1 Amsterdam :|bIOS Press,|c[2020] 
264  4 |c©2020 
300    1 online resource (xix, 499 pages) :|billustrations (some 
       color). 
336    text|btxt|2rdacontent 
337    computer|bn|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    data file|2rda 
490 1  Studies in Health Technology and Informatics,|x1879-8365 ;
       |v272 
504    Includes bibliographical references and indexes. 
505 0  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 
505 8  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 
505 8  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 
505 8  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 
505 8  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 
506 0  |fUnrestricted online access|2star 
520    "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. 
588    Description based on online resource; title from 
       electronic title page (IOS Press, viewed on October 28, 
       2020). 
650  0 Medical informatics|vCongresses. 
650  0 COVID-19 (Disease)|vCongresses. 
650  0 Virus diseases|vCongresses. 
650  7 COVID-19 (Disease)|2fast|0(OCoLC)fst01984643 
650  7 Medical informatics.|2fast|0(OCoLC)fst01014175 
650  7 Virus diseases.|2fast|0(OCoLC)fst01167739 
650 12 Medical Informatics. 
650 12 COVID-19. 
650 22 Betacoronovirus. 
650 22 Pandemics. 
650 22 Public Health. 
655  0 Electronic books. 
655  2 Congress. 
655  7 Conference papers and proceedings.|2fast
       |0(OCoLC)fst01423772 
700 1  Mantas, J.|q(John),|eeditor. 
700 1  Hasman, Arie,|eeditor. 
700 1  Househ, Mowafa,|d1977-|eeditor. 
700 1  Gallos, Parisis,|eeditor. 
700 1  Zoulias, Emmanuel I.,|eeditor. 
776 08 |iPrint version:|tImportance of health informatics in 
       public health during a pandemic.|dAmsterdam : IOS Press 
       B.V. 2020|z9781643680927|w(OCoLC)1184100725 
830  0 Studies in health technology and informatics ;|v272.|x0926
       -9630 
914    on1198018374 
994    92|bCKE 
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