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005 20240726105227.0
008 200929t20202020ne a ob 101 0 eng d
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_dIOSPR
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020 _a9781643680934
_q((electronic)l(electronic)ctronic)
050 0 4 _aR858
_b.I476 2020
049 _aMAIN
245 1 0 _aThe importance of health informatics in public health during a pandemic /edited by J. Mantas, Arie Hasman, Mowafa S. Househ, Parisis Gallos and Emmanouil Zoulias.
260 _aAmsterdam :
_bIOS Press,
_c(c)2020.
300 _a1 online resource (xix, 499 pages) :
_billustrations (some color)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _adata file
_2rda
490 1 _aStudies in Health Technology and Informatics,
_v272
504 _a2
520 0 _a"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
505 0 0 _aIntro --
_tTitle Page --
_tPreface --
_tScientific Programme Committee and Reviewers --
_tContents --
_tUnsupervised Machine Learning for the Discovery of Latent Clusters in COVID-19 Patients Using Electronic Health Records --
_tApplication of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research --
_tE-Health in Norway Before and During the Initial Phase of the Covid-19 Pandemic --
_tSetting 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 0 0 _aEvidence-Based Health Intelligence with Globally Localized Epidemic Knowledge Base: Merging Pathological Data, Socio-Environmental Data and Intervention Knowledge Data --
_tEpidemiological Analysis of the Covid-19 Epidemic in Greece --
_tApplication of Topic Modeling to Tweets as the Foundation for Health Disparity Research for COVID-19 --
_t200 Years Since the Birth of Nursing Informatics? --
_tRemote Monitoring of Patients in Quarantine in the Era of SARS-CoV-2 Pandemic --
_tSafety Justification of Healthcare Applications Using Synthetic Datasets
505 0 0 _aLessons Learned: Implementation of a Nationwide Innovative E-Learning Module for Health Enabling Technologies --
_tThe Mishandling of Anonymity in Terms of Medical Research Within the General Data Protection Regulation --
_tLegal Challenges for IT Service Providers in Pharmacogenomics --
_tComparison of Machine Learning Algorithms for Classifying Adverse-Event Related 30-Day Hospital Readmissions: Potential Implications for Patient Safety --
_tSemiautomated Approach for Muscle Weakness Detection in Clinical Texts
505 0 0 _aConfirmatory Factors to Nursing Practice for Patient Safety of Nurses in Kalasin Hospital, Kalasin Province, Thailand --
_tPatient Awareness of the Severity of Their Information and Medication Management-Related Adverse Events --
_tThe Quality Improvement Information System for Surveillance and Monitoring for Patient Safety and Personal Safety in Kalasin Hospital, Kalasin Province, Thailand --
_tIconic Visualization of Sickle Cell Patients Current and Past Health Status --
_tUsing Machine Learning Algorithms to Predict Antimicrobial Resistance and Assist Empirical Treatment
505 0 0 _aProcess Coverage and Use Case Support of Health Registry Software in Germany --
_tEnhancing Medical Education with Data-Driven Software: The TrainCoMorb App --
_tEvaluating the Students' View of Medical and Paramedical Sciences About Perceived Benefits and Barriers of Virtual Social Networks for Learning Purposes --
_tVisualization of Potential Drug Synergies --
_tUse of Natural Language Processing for Precise Retrieval of Key Elements of Health IT Evaluation Studies --
_tLocal Distortion Hiding Algorithm in Medical Data: A Case Study Using CART
530 _a2
_ub
650 0 _aMedical informatics
_vCongresses.
650 0 _aCOVID-19 (Disease)
_vCongresses.
650 0 _aVirus diseases
_vCongresses.
650 0 _aCOVID-19 (Disease)
650 0 _aPublic health.
650 1 2 _aMedical Informatics
650 1 2 _aCOVID-19
650 2 2 _aBetacoronovirus
650 2 2 _aPandemics
650 2 2 _aPublic Health
655 1 _aElectronic Books.
700 1 _aMantas, J.
_e5
700 1 _aHasman, Arie,
_e5
700 1 _aHouseh, Mowafa,
_d1977-
_e5
700 1 _aGallos, Parisis,
_e5
700 1 _aZoulias, Emmanuel I.,
_e5
700 1 _q(John),
856 4 0 _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2632787&site=eds-live&custid=s3260518
_zClick to access digital title | log in using your CIU ID number and my.ciu.edu password
942 _cOB
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_m2020
_QOL
_R
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_8NFIC
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994 _a92
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999 _c93290
_d93290
902 _a1
_bCynthia Snell
_c1
_dCynthia Snell