3.238.204.31
dgid:
enl:
npi:0
-Advertisement-
-Advertisement-
Nephrology
Trending Topics

Optimizing Electronic Health Record Data for Diagnosing Rare Diseases

Posted on May 29, 2021
Optimizing Electronic Health Record Data for Diagnosing Rare Diseases

This literature review examines ways to better use electronic health record data for the diagnosis and management of patients with rare disease.

The authors state that they “examine the research that provides solutions to unlock these barriers and accelerate translational research: structured electronic health records and free-text search engines to find patients, data warehouses and natural language processing to extract phenotypes, machine learning algorithms to classify patients, and similarity metrics to diagnose patients.”

Read the full review here

Reference

Garcelon N, Burgun A, Salomon R, Neuraz A. Electronic health records for the diagnosis of rare diseases. Kidney Int. 2020:[Online ahead of print]. DOI: 10.1016/j.kint.2019.11.037.

-Advertisement-
Related Articles
The American Society of Nephrology Offers Informational Webinar on New COVID-19 Guidance for Dialysis Facilities
Jun 02, 2020
Attendee at Kidney Conference Tests Positive for COVID-19
Jun 02, 2020
Data on Clinical Trial End Points for Primary Hyperoxaluria Published
Mar 22, 2020
-Advertisement-
-Advertisement-
-Advertisement-
-Advertisement-
-Advertisement-