Acute kidney injury (AKI)
Owner Phenotyping Groups:
Final
ICD 10 Codes
Anxiety algorithm
Owner Phenotyping Groups:
View Phenotyping Groups:
Final
Autoimmune Disease Phenotype
Autoimmune diseases (AID) refer to destructive conditions involving an aberrant chronic activation of the adaptive immune system, where the immune cells instead of producing antibodies to attack foreign invaders, mistakenly attack the body’s own healthy cells. While autoimmune diseases are heterogeneous according to symptoms, lesion types, and prognosis, and are usually studied in isolation according to groups based on organ system; various autoimmunity diseases share similar immune effector mechanisms. Recent genetic studies suggest that many autoimmune and chronic autoinflammatory condi
Owner Phenotyping Groups:
View Phenotyping Groups:
Final
Body Mass Index (BMI)
eMERGE-IV BMI Algorithm adapted from Geisinger Extreme Obesity Algorithm (2013). BMI is being implemented as a quantitative trait. PheKB maintains a catalog of the Geisinger Extreme Obesity algorithm, on which this is based (Phenotpe 121). This algorithm is for analysis. Sites only contributing covariates can simply compile the designated data.
Owner Phenotyping Groups:
Final
bone scan utilization
Objective
Clinical care guidelines recommend that newly diagnosed prostate cancer patients at high risk for metastatic spread receive a bone scan prior to treatment and that low risk patients not receive it. The objective was to develop an automated pipeline to interrogate heterogeneous data to evaluate the use of bone scans using a two different Natural Language Processing (NLP) approaches.
Final
Breast Cancer
Breast cancer is the most common cancer and the second leading cause of cancer-related death among women in the U.S. Known breast cancer risk factors include age, race/ethnicity, reproductive factors, and benign breast disease. Family history of breast cancer and hereditary cancer syndromes, such as BRCA1/BRCA2 mutations, confer the strongest risk for this disease.
Owner Phenotyping Groups:
View Phenotyping Groups:
Final
CRS (Chronic Rhinosinusitis)
Please see the PubMed reference below for background information about this phenotype & algorithm (a copy also attached).
Owner Phenotyping Groups:
View Phenotyping Groups:
Final
Depression
Depression accounts for substantial morbidity and mortality worldwide and risk of experiencing it may have a genetic component. Depressive disorders manifest along a gradient from mild to severe.[1] Electronic health record (EHR) data linked to large, multi-site biobanks[2] facilitate exploration of the genetic component of depression.
Owner Phenotyping Groups:
View Phenotyping Groups:
Final
Developmental Language Disorder
APT-DLD
Version 1.0, July 2020
Automated Phenotyping Tool for identifying DLD cases in health-systems data (APT-DLD) is an algorithm for classifying/identifying developmental language disorder cases in electronic health records system data. APT-DLD can be used to:
1. Identify pediatric DLD cases from electronic health record systems using ICD9 and ICD10 codes
2. Study epidemiology and population-level charateristics of DLD from EHRs
The How-To guide for using APT-DLD is provided in the files listed below.
Owner Phenotyping Groups:
Final