Article

Rapid Identification and Phenotyping of Nonalcoholic Fatty Liver Disease Patients Using an Algorithmic Approach in Diverse, Urban Healthcare Systems

2021-04-30

Abstract excerpt

<h4>Objectives</h4> Nonalcoholic Fatty Liver Disease (NAFLD) is the most common global cause of chronic liver disease. Therapeutic interventions are rapidly advancing for its inflammatory phenotype, nonalcoholic steatohepatitis (NASH) at all stages of disease. Diagnosis codes alone fail to accurately recognize and stratify at-risk patients. Our work aims to rapidly identify NAFLD patients within large electronic h...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1bfeda57-bb03-5cfd-bddd-2f94810db29d
DOI: 10.1101/2021.04.27.21256139

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Rapid Identification and Phenotyping of Nonalcoholic Fatty Liver Disease Patients Using an Algorithmic Approach in Diverse, Urban Healthcare SystemsDOI 10.1101/2021.04.27.21256139Read

Rapid identification and phenotyping of nonalcoholic fatty liver disease patients using a machine-based approach in diverse healthcare systems.Semantic proximity Read

Development of an Algorithm to Identify Cases of Nonalcoholic Steatohepatitis Cirrhosis in the Electronic Health Record.Semantic proximity Read

Augmented Intelligence with Natural Language Processing Applied to Electronic Health Records is Useful for Identifying Patients with Non-Alcoholic Fatty Liver Disease at Risk for Disease ProgressionSemantic proximity Read

SteatoSITE: an Integrated Gene-to-Outcome Data Commons for Precision Medicine Research in NAFLDSemantic proximity Read

Validating a non-invasive, ALT-based non-alcoholic fatty liver phenotype in the million veteran program.Semantic proximity Read

Epidemiology, temporal trends, and fibrosis risk stratification in metabolic dysfunction-associated steatotic liver disease in UK primary care: a population-based cohort and nested case-control studySemantic proximity Read

A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury.Semantic proximity Read

[Precise clinical classification of metabolic associated fatty liver disease].Semantic proximity Read

Electronic Health Record-Based Genome-Wide Meta-Analysis and Mendelian Randomization Identify Metabolic and Phenotypic Consequences of Non-Alcoholic Fatty Liver DiseaseSemantic proximity Read

Age-stratified Analysis of Associations Between Participant’s Characteristics and NAFLDSemantic proximity Read

Linking abdominal imaging traits to electronic health record phenotypesSemantic proximity Read

Nonalcoholic Fatty Liver Disease 2020: The State of the Disease.Semantic proximity Read