A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury.
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Building bridges across electronic health record systems through inferred phenotypic topics.Pathogenesis of idiosyncratic drug-induced liver injury and clinical perspectives.Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF ProjectTrends in biomedical informatics: automated topic analysis of JAMIA articlesExtracting research-quality phenotypes from electronic health records to support precision medicineVisual aggregate analysis of eligibility features of clinical trialsLearning statistical models of phenotypes using noisy labeled training data.Leveraging Food and Drug Administration Adverse Event Reports for the Automated Monitoring of Electronic Health Records in a Pediatric HospitalDefining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation.Desiderata for computable representations of electronic health records-driven phenotype algorithms.Patient Stratification Using Electronic Health Records from a Chronic Disease Management Program.Defining and measuring completeness of electronic health records for secondary use.Drug-induced liver injury: what was new in 2013?Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network.A Text Searching Tool to Identify Patients with Idiosyncratic Drug-Induced Liver Injury.Automated identification of an aspirin-exacerbated respiratory disease cohort.The impact of serious adverse drug reactions: a population-based study of a decade of hospital admissions in New South Wales, Australia.Personalized Predictive Modeling and Risk Factor Identification using Patient Similarity.Electronic health records-driven phenotyping: challenges, recent advances, and perspectivesThe influence of big (clinical) data and genomics on precision medicine and drug development.Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record.Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Systematic review and meta-analysis of algorithms used to identify drug-induced liver injury (DILI) in health record databases.High-fidelity phenotyping: richness and freedom from bias.Replicability, Reproducibility, and Agent-based Simulation of Interventions.
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A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 09 July 2013
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
A collaborative approach to de ...... for drug-induced liver injury.
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A collaborative approach to de ...... for drug-induced liver injury.
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type
label
A collaborative approach to de ...... for drug-induced liver injury.
@en
A collaborative approach to de ...... for drug-induced liver injury.
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prefLabel
A collaborative approach to de ...... for drug-induced liver injury.
@en
A collaborative approach to de ...... for drug-induced liver injury.
@nl
P2093
P2860
P50
P1476
A collaborative approach to de ...... for drug-induced liver injury.
@en
P2093
Adler Perotte
Christopher Chute
Iftikhar Kullo
Jayant Talwalkar
Jyotishman Pathak
Kevin Bruce
Krystl Haerian
Sean Murphy
Stephanie Johnson
Steve Ellis
P2860
P304
P356
10.1136/AMIAJNL-2013-001930
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P577
2013-07-09T00:00:00Z