Medscape May 21, 2021
Researchers have validated a software algorithm that can automatically scan through electronic medical records to identify people with chronic kidney disease (CKD) and classify them by CKD severity stage.
In a pair of validation studies the algorithm had a positive predictive value for identifying CKD of 95%-97%, and a negative predictive value of 89%, the investigators report in a recent publication in Nature.
“The algorithm is ready for clinical implementation,” declared Krzysztof Kiryluk, MD, the senior investigator on the project and a nephrologist at Columbia University Medical Center in New York City. “The algorithm has been validated extensively and is ready to use,” he said in an interview.
The software and its documentation sit in an online public catalog, available...
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