M27 GENETIC VALIDATION OF BIPOLAR DISORDER IDENTIFIED BY AUTOMATED PHENOTYPING USING ELECTRONIC HEALTH RECORDS
Sign Up to like & getrecommendations! Published in 2019 at "European Neuropsychopharmacology"
DOI: 10.1016/j.euroneuro.2017.08.334
Abstract: Background Bipolar Disorder (BD) is a heritable mood disorder with about 1% lifetime prevalence in general population. Many BD-associated loci have been identified through Genome-Wide Association Studies (GWAS). However, larger sample size and more detailed… read more here.
Keywords: genome wide; disorder; electronic health; bipolar disorder ... See more keywords
Genetic validation of bipolar disorder identified by automated phenotyping using electronic health records
Sign Up to like & getrecommendations! Published in 2018 at "Translational Psychiatry"
DOI: 10.1038/s41398-018-0133-7
Abstract: Bipolar disorder (BD) is a heritable mood disorder characterized by episodes of mania and depression. Although genomewide association studies (GWAS) have successfully identified genetic loci contributing to BD risk, sample size has become a rate-limiting… read more here.
Keywords: electronic health; bipolar disorder; coded broad; ehr based ... See more keywords
An augmented estimation procedure for EHR-based association studies accounting for differential misclassification
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocz180
Abstract: OBJECTIVES The ability to identify novel risk factors for health outcomes is a key strength of electronic health record (EHR)-based research. However, the validity of such studies is limited by error in EHR-derived phenotypes. The… read more here.
Keywords: estimator using; estimator; risk factors; augmented estimator ... See more keywords
Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation
Sign Up to like & getrecommendations! Published in 2022 at "BMJ Open"
DOI: 10.1136/bmjopen-2022-067204
Abstract: Introduction Despite a higher risk of severe COVID-19 disease in individuals with HIV, the interactions between SARS-CoV-2 and HIV infections remain unclear. To delineate these interactions, multicentre Electronic Health Records (EHR) hold existing promise to… read more here.
Keywords: hiv sars; ehr based; coinfection; study ... See more keywords
Using latent class analysis to inform the design of an EHR-based national chronic disease surveillance model.
Sign Up to like & getrecommendations! Published in 2022 at "Chronic illness"
DOI: 10.1177/17423953221099043
Abstract: The Multi-state EHR-based Network for Disease Surveillance (MENDS) developed a pilot electronic health record (EHR) surveillance system capable of providing national chronic disease estimates. To strategically engage partner sites, MENDS conducted a latent class analysis… read more here.
Keywords: surveillance; chronic disease; disease; ehr based ... See more keywords