
Last Posted: May 27, 2022
- Integrated Blockchain-Deep Learning Approach for Analyzing the Electronic Health Records Recommender System.
Mantey Eric Appiah et al. Frontiers in public health 2022 10905265 - Improving lithium dose prediction using population pharmacokinetics and pharmacogenomics: a cohort genome-wide association study in Sweden.
Millischer Vincent et al. The lancet. Psychiatry 2022 9(6) 447-457 - Incomplete Penetrance of Population-Based Genetic Screening Results in Electronic Health Record.
Elhanan Gai et al. Frontiers in genetics 2022 13866169 - Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach.
Schrempf Michael et al. Studies in health technology and informatics 2022 293262-269 - Identifying adverse childhood experiences with electronic health records of linked mothers and children in England: a multistage development and validation study.
Syed Shabeer et al. The Lancet. Digital health 2022 - Identifying who has long COVID in the USA: a machine learning approach using N3C data.
Pfaff Emily R et al. The Lancet. Digital health 2022 - Understanding Post-Acute Sequelae of SARS-CoV-2 Infection through Data-Driven Analysis with the Longitudinal Electronic Health Records: Findings from the RECOVER Initiative
C Zang et al, MEDRXIV, May 22, 2022 - Intelligent Telehealth in Pharmacovigilance: A Future Perspective.
Edrees Heba et al. Drug safety 2022 45(5) 449-458 - Machine learning model to predict mental health crises from electronic health records.
Garriga Roger et al. Nature medicine 2022 - Machine learning paves the way toward the prevention of mental health crises
Nature Medicine, May 18, 2022
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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.
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- Page last updated:May 27, 2022
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