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Krystl Haerian

Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions
2012 · Rave Harpaz, Santiago Vilar, et al. · Journal of the American Medical Informatics Association · 173
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Detection of Pharmacovigilance-Related Adverse Events Using Electronic Health Records and Automated Methods
2012 · K Haerian, D Varn, et al. · Clinical Pharmacology & Therapeutics · 124
Methods for identifying suicide or suicidal ideation in EHRs.
2012 · K Haerian, H Salmasian, et al. · PubMed · 73
A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury
2013 · Casey Lynnette Overby, Jyotishman Pathak, et al. · Journal of the American Medical Informatics Association · 65
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Statistical Mining of Potential Drug Interaction Adverse Effects in FDA's Spontaneous Reporting System.
2010 · Rave Harpaz, Krystl Haerian, et al. · PubMed · 52
Mining electronic health records for adverse drug effects using regression based methods
2010 · Rave Harpaz, Krystl Haerian, et al. · 50
A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citations.
2011 · Wei Wang, Krystl Haerian, et al. · PubMed · 46
The additive impact of cardio‐metabolic disorders and psychiatric illnesses on accelerated brain aging
2022 · Meghann C. Ryan, L. Elliot Hong, et al. · Human Brain Mapping · 23
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Use of clinical alerting to improve the collection of clinical research data.
2009 · Krystl Haerian, Jon McKeeby, et al. · PubMed · 13
Evaluation considerations for EHR-based phenotyping algorithms: A case study for drug-induced liver injury.
2013 · Casey Lynnette Overby, Chunhua Weng, et al. · PubMed · 10
Ontology development for semantic representation of GeneReviews
2016 · Sweta Singh, Krystl Haerian, et al.
Works count: 11
Citation count: 629
H-index: 10
I10-index: 10
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