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.
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.
Algorithm to identify patients with low levels of high-density lipoproteins (HDL).
FLOWCHART of HDL Phenotyping Process
Algorithm for the identification of all patients aged 13 or older with HIV in an electronic health record dataset.
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).
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:
Hepatocellular carcinoma (HCC), the primary form of liver cancer, is one of the leading cancer-related causes of death worldwide. There are many complex treatment strategies; the populations are heterogeneous, with different genetic, lifestyle, and comorbity differences.
Here we describe the algorithm used to identify HCC liver cancer stages for AJCC, BCLC, and CLIP liver cancer staging systems.
Algorithm:
Step 1) Patient files and laboratories