Last Posted: Sep 22, 2021
- A Deep Learning Method to Detect Opioid Prescription and Opioid Use Disorder from Electronic Health Records
A Kashyap et al, MEDRXIV, September 21, 2021
- Case-finding and genetic testing for familial hypercholesterolaemia in primary care.
Qureshi Nadeem et al. Heart (British Cardiac Society) 2021
- Measuring the Value of a Practical Text Mining Approach to Identify Patients With Housing Issues in the Free-Text Notes in Electronic Health Record: Findings of a Retrospective Cohort Study.
Hatef Elham et al. Frontiers in public health 2021 9697501
- Application of a time-series deep learning model to predict cardiac dysrhythmias in electronic health records.
Guo Aixia et al. PloS one 2021 16(9) e0239007
- Understanding Pediatric Surgery Cancellation: Geospatial Analysis.
Liu Lei et al. Journal of medical Internet research 2021 23(9) e26231
- Effectiveness of Covid-19 Vaccines in Ambulatory and Inpatient Care Settings.
Thompson Mark G et al. The New England journal of medicine 2021
- Emergence and evolution of big data science in HIV research: Bibliometric analysis of federally sponsored studies 2000-2019.
Liang Chen et al. International journal of medical informatics 2021 154104558
- Key Contributions in Clinical Research Informatics.
Daniel Christel et al. Yearbook of medical informatics 2021 30(1) 233-238
- Psychiatry in the Digital Age: A Blessing or a Curse?
Roth Carl B et al. International journal of environmental research and public health 2021 18(16)
- Development and validation of techniques for phenotyping ST-elevation myocardial infarction encounters from electronic health records.
Somani Sulaiman et al. JAMIA open 2021 4(3) ooab068
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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.