Cargando…

Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods

BACKGROUND: Accurate identification of acute ischemic stroke (AIS) patient cohorts is essential for a wide range of clinical investigations. Automated phenotyping methods that leverage electronic health records (EHRs) represent a fundamentally new approach cohort identification without current labor...

Descripción completa

Detalles Bibliográficos
Autores principales:	Thangaraj, Phyllis M., Kummer, Benjamin R., Lorberbaum, Tal, Elkind, Mitchell S. V., Tatonetti, Nicholas P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720570/ https://www.ncbi.nlm.nih.gov/pubmed/33372632 http://dx.doi.org/10.1186/s13040-020-00230-x

Ejemplares similares

Improving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based Modeling
por: Vilar, Santiago, et al.
Publicado: (2015)

ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data
por: Glicksberg, Benjamin S, et al.
Publicado: (2019)

An Integrative Data Science Pipeline to Identify Novel Drug Interactions that Prolong the QT Interval
por: Lorberbaum, Tal, et al.
Publicado: (2016)

Systems pharmacology augments drug safety surveillance
por: Lorberbaum, Tal, et al.
Publicado: (2014)

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model
por: Glicksberg, Benjamin S, et al.
Publicado: (2019)

Development and validation of a classification approach for extracting severity automatically from electronic health records
por: Boland, Mary Regina, et al.
Publicado: (2015)

2481 A collaborative neurology-emergency medicine rapid outpatient clinic for the management of TIA and minor stroke in the emergency department
por: Chang, Bernard P., et al.
Publicado: (2018)

Are All Vaccines Created Equal? Using Electronic Health Records to Discover Vaccines Associated With Clinician-Coded Adverse Events
por: Boland, Mary Regina, et al.
Publicado: (2015)

Atrial cardiopathy and stroke
por: Elkind, Mitchell S. V.
Publicado: (2022)

Stroke Prevention After Cryptogenic Stroke
por: Ibeh, Chinwe, et al.
Publicado: (2021)

AN APPLICATION OF AUTOCORRELATION METHODS TO THE INTERPRETATION OF INTESTINAL MOTILITY RECORDS
por: Small, Melvin D., et al.
Publicado: (1955)

Columbia Open Health Data, clinical concept prevalence and co-occurrence from electronic health records
por: Ta, Casey N., et al.
Publicado: (2018)

Potential application of item-response theory to interpretation of medical codes in electronic patient records
por: Dregan, Alex, et al.
Publicado: (2011)

Uncovering interpretable potential confounders in electronic medical records
por: Zeng, Jiaming, et al.
Publicado: (2022)

Structured deep embedding model to generate composite clinical indices from electronic health records for early detection of pancreatic cancer
por: Park, Jiheum, et al.
Publicado: (2022)

A knowledge-based, automated method for phenotyping in the EHR using only clinical pathology reports
por: Yahi, Alexandre, et al.
Publicado: (2015)

Pediatric sepsis phenotypes for enhanced therapeutics: An application of clustering to electronic health records
por: Koutroulis, Ioannis, et al.
Publicado: (2022)

Next-generation phenotyping of electronic health records
por: Hripcsak, George, et al.
Publicado: (2013)

Measuring, comparing and interpreting phenotypic selection on floral scent
por: Opedal, Øystein H., et al.
Publicado: (2022)

Identification of Immune complement function as a determinant of adverse SARS-CoV-2 infection outcome
por: Ramlall, Vijendra, et al.
Publicado: (2020)

Towards stroke prediction using electronic health records
por: Teoh, Douglas
Publicado: (2018)

A longitudinal footprint of genetic epilepsies using automated electronic medical record interpretation
por: Ganesan, Shiva, et al.
Publicado: (2020)

Stroke in a young man: a late complication of radiation therapy
por: Jiang, Zhaozhi, et al.
Publicado: (2019)

Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records
por: Rana, Santu, et al.
Publicado: (2021)

A Modular Architecture for Electronic Health Record-Driven Phenotyping
por: Rasmussen, Luke V., et al.
Publicado: (2015)

Electronic medical record phenotyping using the anchor and learn framework
por: Halpern, Yoni, et al.
Publicado: (2016)

The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data
por: Ding, Daisy Yi, et al.
Publicado: (2019)

Determining Multiple Sclerosis Phenotype from Electronic Medical Records
por: Nelson, Richard E., et al.
Publicado: (2016)

“Nothing About Me Without Me”: An Interpretative Review of Patient Accessible Electronic Health Records
por: Jilka, Sagar Ramesh, et al.
Publicado: (2015)

Bias or biology? Importance of model interpretation in machine learning studies from electronic health records
por: Momenzadeh, Amanda, et al.
Publicado: (2022)

Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis
por: Simon, Steven T, et al.
Publicado: (2022)

Interpretable modeling and discovery of key predictors for pneumonia diagnosis in children based on electronic medical records
por: Li, Jing, et al.
Publicado: (2022)

Historical Ethnobotany: Interpreting the Old Records
por: Kalle, Raivo, et al.
Publicado: (2023)

Achieving the Promise of Electronic Health Record-enabled Quality Measurement: a Measure Developer’s Perspective
por: Torda, Phyllis, et al.
Publicado: (2013)

Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts
por: Liao, Katherine P., et al.
Publicado: (2015)

External Validation of e‐ASPECTS Software for Interpreting Brain CT in Stroke
por: Mair, Grant, et al.
Publicado: (2022)

Clinical pathology; application and interpretation
por: Wells, Benjamin B. (Benjamin Baxter), 1912-
Publicado: (1962)

Application of Natural Language Processing to VA Electronic Health Records to Identify Phenotypic Characteristics for Clinical and Research Purposes
por: Gundlapalli, Adi V., et al.
Publicado: (2008)

The comparative effectiveness of fourth‐line drugs in resistant hypertension: An application in electronic health record data
por: Sinnott, Sarah‐Jo, et al.
Publicado: (2019)

Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis
por: Schreiweis, Björn, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_si3611e2riu728ujt1r776f58l