Physician
Internal Medicine
Dr. Joshua C. Denny, MD
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Joshua C. Denny is an expert in the field of Internal Medicine. He went to Vanderbilt University School of Medicine. He received 2 awards: "Patient-Centered Medical Home Recognition Program" and "Physician Practice Connections Recognition Program". Joshua C. Denny is a published doctor as well. He has 99 publications published. The latest was: The phenotypic legacy of admixture between modern humans and Neandertals.
Publications
- Genome-wide Association Studies Identify Genetic Loci Associated With Albuminuria in Diabetes.
- Harnessing next-generation informatics for personalizing medicine: a report from AMIA's 2014 Health Policy Invitational Meeting.
- The phenotypic legacy of admixture between modern humans and Neandertals.
- A Robust e-Epidemiology Tool in Phenotyping Heart Failure with Differentiation for Preserved and Reduced Ejection Fraction: the Electronic Medical Records and Genomics...
- Desiderata for computable representations of electronic health records-driven phenotype algorithms.
- A multi-institution evaluation of clinical profile anonymization.
- Genetics of glucocorticoid-associated osteonecrosis in children with acute lymphoblastic leukemia.
- A gene-based association method for mapping traits using reference transcriptome data.
- Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.
- Intelligent use and clinical benefits of electronic health records in rheumatoid arthritis.
- Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality.
- SecureMA: protecting participant privacy in genetic association meta-analysis.
- Genotype and risk of major bleeding during warfarin treatment.
- A genome-wide association study of heparin-induced thrombocytopenia using an electronic medical record.
- Genetic variation in the UGT1A locus is associated with simvastatin efficacy in a clinical practice setting.
- Examining Rare and Low-Frequency Genetic Variants Previously Associated with Lone or Familial Forms of Atrial Fibrillation in an Electronic Medical Record System: A Ca...
- Design and Anticipated Outcomes of the eMERGE-PGx Project: A Multicenter Pilot for Preemptive Pharmacogenomics in Electronic Health Record Systems.
- Genetic variation in the HLA region is associated with susceptibility to herpes zoster.
- Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization.
- Assessing the role of a medication-indication resource in the treatment relation extraction from clinical text.
- A polymorphism in HLA-G modifies statin benefit in asthma.
- Size matters: How population size influences genotype-phenotype association studies in anonymized data.
- Limestone: High-throughput candidate phenotype generation via tensor factorization.
- Design patterns for the development of electronic health record-driven phenotype extraction algorithms.
- Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization.
- Biobanks and electronic medical records: enabling cost-effective research.
- R PheWAS: Data Analysis and Plotting Tools for Phenome Wide Association Studies in the R Environment.
- Using systems approaches to address challenges for clinical implementation of pharmacogenomics.
- Lessons learned from developing a drug evidence base to support pharmacovigilance.
- Genetics of rheumatoid arthritis contributes to biology and drug discovery.
- Electronic health records-driven phenotyping: challenges, recent advances, and perspectives.
- Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data.
- Characterization of Statin Dose Response in Electronic Medical Records.
- A Common Variant on Chromosome 4q25 is Associated With Prolonged PR Interval in Subjects With and Without Atrial Fibrillation.
- Automated extraction of clinical traits of multiple sclerosis in electronic medical records.
- A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects.
- Opportunities for genomic clinical decision support interventions.
- Predicting changes in hypertension control using electronic health records from a chronic disease management program.
- Applying active learning to high-throughput phenotyping algorithms for electronic health records data.
- The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future.
- Response to 'Use of an algorithm for identifying hidden drug-drug interactions in adverse event reports' by Gooden et al.
- Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records.
- Assessment of a pharmacogenomic marker panel in a polypharmacy population identified from electronic medical records.
- Development and evaluation of an ensemble resource linking medications to their indications.
- A hybrid system for temporal information extraction from clinical text.
- Response to "doubt about the feasibility of preemptive genotyping".
- Associations of autoantibodies, autoimmune risk alleles, and clinical diagnoses from the electronic medical records in rheumatoid arthritis cases and non-rheumatoid ar...
- Genome- and Phenome-Wide Analysis of Cardiac Conduction Identifies Markers of Arrhythmia Risk.
- Enabling Genomic-Phenomic Association Discovery without Sacrificing Anonymity.
- The effect of reducing maximum shift lengths to 16 hours on internal medicine interns' educational opportunities.
- A comparative study of current Clinical Natural Language Processing systems on handling abbreviations in discharge summaries.
- An evaluation of the NQF Quality Data Model for representing Electronic Health Record driven phenotyping algorithms.
- Type 2 diabetes risk forecasting from EMR data using machine learning.
- A study of transportability of an existing smoking status detection module across institutions.
- Chapter 13: Mining electronic health records in the genomics era.
- Mapping the incidentalome: estimating incidental findings generated through clinical pharmacogenomics testing.
- Optimizing Drug Outcomes Through Pharmacogenetics: A Case for Preemptive Genotyping.
- Operational Implementation of Prospective Genotyping for Personalized Medicine: The Design of the Vanderbilt PREDICT Project.
- Detecting temporal expressions in medical narratives.
- Electronic Medical Records as a Tool in Clinical Pharmacology: Opportunities and Challenges.
- Portability of an algorithm to identify rheumatoid arthritis in electronic health records.
- Importance of multi-modal approaches to effectively identify cataract cases from electronic health records.
- Predicting clopidogrel response using DNA samples linked to an electronic health record.
- The use of a DNA biobank linked to electronic medical records to characterize pharmacogenomic predictors of tacrolimus dose requirement in kidney transplant recipients.
- Analyses of longitudinal, hospital clinical laboratory data with application to blood glucose concentrations.
- Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.
- PASTE: patient-centered SMS text tagging in a medication management system.
- Variants Near FOXE1 Are Associated with Hypothyroidism and Other Thyroid Conditions: Using Electronic Medical Records for Genome- and Phenome-wide Studies.
- Applying semantic-based probabilistic context-free grammar to medical language processing - A preliminary study on parsing medication sentences.
- Detecting drug interactions from adverse-event reports: interaction between paroxetine and pravastatin increases blood glucose levels.
- Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin.
- Complement Receptor 1 Gene Variants Are Associated with Erythrocyte Sedimentation Rate.
- Teaching evidence-based medicine: Impact on students'' literature use and inpatient clinical documentation.
- A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.
- Electronic Medical Records for Genetic Research: Results of the eMERGE Consortium.
- Natural Language Processing Improves Identification of Colorectal Cancer Testing in the Electronic Medical Record.
- The emerging role of electronic medical records in pharmacogenomics.
- Data from clinical notes: a perspective on the tension between structure and flexible documentation.
- Modulators of normal electrocardiographic intervals identified in a large electronic medical record.
- Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases.
- Knowledge-Driven Multi-Locus Analysis Reveals Gene-Gene Interactions Influencing HDL Cholesterol Level in Two Independent EMR-Linked Biobanks.
- Detecting Abbreviations in Discharge Summaries using Machine Learning Methods.
- Modeling drug exposure data in electronic medical records: an application to warfarin.
- Analyzing the heterogeneity and complexity of electronic health record oriented phenotyping algorithms.
- Naïve Electronic Health Record phenotype identification for Rheumatoid arthritis.
- An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records.
- Identification of genomic predictors of atrioventricular conduction: using electronic medical records as a tool for genome science.
- Development of inpatient risk stratification models of acute kidney injury for use in electronic health records.
- Assessing the accuracy of observer-reported ancestry in a biorepository linked to electronic medical records.
- Integrating existing natural language processing tools for medication extraction from discharge summaries.
- Extracting timing and status descriptors for colonoscopy testing from electronic medical records.
- The disclosure of diagnosis codes can breach research participants' privacy.
- PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.
- Robust replication of genotype-phenotype associations across multiple diseases in an electronic medical record.
- Prevalence and Clinical Significance of Discrepancies within Three Computerized Pre-Admission Medication Lists.
- MedEx: a medication information extraction system for clinical narratives.
- An automated approach to calculating the daily dose of tacrolimus in electronic health records.
- Mining Biomedical Literature for Terms related to Epidemiologic Exposures.
Schools
Vanderbilt University
Vanderbilt
Doctors Specialties
- Internal Medicine
Accepted Insurances
Awards
- Patient-Centered Medical Home Recognition Program
- Physician Practice Connections Recognition Program
Education
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Vanderbilt University -
Vanderbilt University School of Medicine
Hospital
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Vanderbilt Hospital and Clinics
Drug Facts
| NPI NUMBER | 1942357819 | |
| NPPES Provider LastName | DENNY | |
| NPPES Provider FirstName | JOSHUA | |
| NPPES Provider ZIPCode | 372320001 | |
| NPPES Provider State | TN | |
| Specialty Description | Internal Medicine | |
| Total Claim Count | 1820.0 | |
| Distinct Opioid Count | 2.0 | |
| Opioid Claim Count | 90.0 | |
| Percent Opioid Claims | 4.95 |
Helpful Reviews
Medicare Facts
| National Provider Identifier [NPI] | 1942357819 |
| Last Name Of The Provider | DENNY |
| First Name Of The Provider | JOSHUA |
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