Natural Language Processing

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: 

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Liver cancer staging project

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

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Peripheral Arterial Disease - 2012

Peripheral Arterial Disease (PAD) is prevalent with approximately 10-12 million adults in US affected. For those with PAD, morbidity and mortality are high and quality of life is markedly impaired. The genetic basis of PAD is poorly understood and is the focus of the Mayo Clinic Electronic Medical Records and Genomics (eMERGE) Network study.

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Red Blood Cell Indices

Laboratory results for ESR and RBC indices (hemoglobin, MCV, MCH, RDW… etc) should be extracted from the Laboratory databases. For Mayo, from January 1994 till October 2009, ESR and RBC test results were populated for our 3336 participants. All samples were collected on an outpatient basis. Samples collected during an inpatient hospitalization (admit date ≤ collection date ≤ discharge date) should be excluded unless this sample was the only one available for a patient.

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Statins and MACE

Phenotype Description:  Patients on statins for primary prevention who develop an AMI or 1st AMI. 

Below are algorithms used to identify AMI and 1st AMI cohort 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

Joshua Denny at josh.denny@vanderbilt.edu

 

             

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