Chapter 13: Mining Electronic Health Records in the Genomics Era

Por Denny, Joshua C.
Publicado em 2012

Extracting research-quality phenotypes from electronic health records to support precision medicine

Por Wei, Wei-Qi, Denny, Joshua C
Publicado no Genome Med (2015)

Learning to Identify Treatment Relations in Clinical Text

Por Bejan, Cosmin A., Denny, Joshua C.
Publicado no AMIA Annu Symp Proc (2014)

Integrating electronic health record genotype and phenotype datasets to transform patient care

Por Roden, Dan M., Denny, Joshua C.
Publicado no Clin Pharmacol Ther (2016)

The disclosure of diagnosis codes can breach research participants' privacy

Por Loukides, Grigorios, Denny, Joshua C, Malin, Bradley
Publicado em 2010

Analysis of Medical Student Content Searches that Resulted in Unidentified UMLS Concepts

Por Rosenbaum, Benjamin P., Denny, Joshua C., Spickard, Anderson
Publicado em 2006

Electronic health records-driven phenotyping: challenges, recent advances, and perspectives

Por Pathak, Jyotishman, Kho, Abel N, Denny, Joshua C
Publicado em 2013

R PheWAS: data analysis and plotting tools for phenome-wide association studies in the R environment

Por Carroll, Robert J., Bastarache, Lisa, Denny, Joshua C.
Publicado em 2014

On the potential of preemptive genotyping towards preventing medication related adverse events: Results from the South Korean national health insurance database

Por Schildcrout, Jonathan S., Denny, Joshua C., Roden, Dan M.
Publicado no Drug Saf (2017)

Phenome-Wide Association Studies as a Tool to Advance Precision Medicine

Por Denny, Joshua C., Bastarache, Lisa, Roden, Dan M.
Publicado no Annu Rev Genomics Hum Genet (2016)

Can Users Estimate Their Usage of a Web-Based Application? Validating a Self-Report Usage Questionnaire

Por Wehbe, Firas H., Denny, Joshua C., Spickard-III, Anderson
Publicado em 2005

Anonymization of Administrative Billing Codes with Repeated Diagnoses Through Censoring

Por Tamersoy, Acar, Loukides, Grigorios, Denny, Joshua C., Malin, Bradley
Publicado em 2010

Naïve Electronic Health Record Phenotype Identification for Rheumatoid Arthritis

Por Carroll, Robert J., Eyler, Anne E., Denny, Joshua C.
Publicado em 2011

PASTE: patient-centered SMS text tagging in a medication management system

Por Stenner, Shane P, Johnson, Kevin B, Denny, Joshua C
Publicado em 2011

Response to ‘Use of an algorithm for identifying hidden drug–drug interactions in adverse event reports’ by Gooden et al

Por Tatonetti, Nicholas P, Denny, Joshua C, Altman, Russ B
Publicado em 2013

Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data

Por Lasko, Thomas A., Denny, Joshua C., Levy, Mia A.
Publicado em 2013

Correction: Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data

Por Lasko, Thomas A., Denny, Joshua C., Levy, Mia A.
Publicado em 2013

Intelligent Use and Clinical Benefits of Electronic Health Records in Rheumatoid Arthritis

Por Carroll, Robert J., Eyler, Anne E., Denny, Joshua C.
Publicado no Expert Rev Clin Immunol (2015)

Precision medicine informatics

Por Frey, Lewis J, Bernstam, Elmer V, Denny, Joshua C
Publicado no J Am Med Inform Assoc (2016)

BRIEF REPORT: “Where Do We Teach What?”: Finding Broad Concepts In The Medical School Curriculum

Por Denny, Joshua C, Smithers, Jeffrey D, Armstrong, Brian, Spickard, Anderson
Publicado em 2005