Final

Hearing Loss

Phenotype Description:  individuals with sensorineural hearing loss (SNHL)
Below are algorithms used to identify individuals with SNHL at BioVU. If you have questions regarding any of the information presented on this page, you may contact either:
Wei-Qi Wei at wei-qi.wei@vanderbilt.edu or Joshua Denny at josh.denny@vanderbilt.edu

Final

Height

Algorithm to select patients with height measures unaffected by environmental factors (i.e. diseases & medications) that can cause an abnormal change in height. Comprehensive documentation of the algorithm can be found here on this PheKB page. Similar to our T2DM algorithm, you can install an executable version of the algorithm implemented as workflows for the Konstanz Information Miner (KNIME) data mining tool.

Owner Phenotyping Groups: 
View Phenotyping Groups: 
Final

Herpes Zoster

Herpes zoster, also known as zoster or shingles, is caused by a virus called varicella zoster virus (VZV). Initial infection with the virus causes chickenpox. After chickenpox resolves the virus continues to resides in certain nerve cells. It may remain latent for many years. It may also re-activate, many years later, and cause shingles which is a painful skin rash. How the virus remains latent in the body is not well understood.

View Phenotyping Groups: 
Final

HIV

Algorithm for the identification of all patients aged 13 or older with HIV in an electronic health record dataset. 

Final

Hypothyroidism

Project Outline:  Selection of all Caucasian patients with hypothyroidism without a secondary cause of surgical removal or radiological ablation.  The search is designed to eliminate subclinical hypothyroidism (by requiring that patients be on a replacement medication), medication-induced hypothyroidism (e.g., PTU, lithium, or history of amiodarone), and transient causes (e.g., pregnancy or subacute thyroiditis).

Owner Phenotyping Groups: 
View Phenotyping Groups: 
Final

Identification of Fibromyalgia Patients in a Rheumatoid Arthritis Cohort

Fibromyalgia has been estimated to affect 12-17% of rheumatoid arthritis patients (1, 2). 

This algorithm was created to identify fibromyalgia patients in a population of rheumatoid arthritis patients. The gold standard used for diagnosis of fibromyalgia was that the treating rheumatologist made a clinical diagnosis of fibromyalgia. Rheumatoid arthritis patients were identified by using a previously validated algorithm (3). 

Algorithm included the following conditions: 

Owner Phenotyping Groups: 
Final

Pages