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Algorithm interprets data from electronic medical records to diagnose kidney disease


Algorithm interprets data from electronic medical records to diagnose kidney disease
Diagnosing chronic kidney disease, which is often undetected until it causes irreversible damage, may soon become automated with a new algorithm that interprets data from electronic medical records.
The algorithm, developed by researchers at Columbia University Vagelos College of Physicians and Surgeons, automatically scours a patient s electronic medical record for results of blood and urine tests and, using a mix of established equations and machine learning to process the data, can alert physicians to patients in the earliest stages of chronic kidney disease.
A study of the algorithm was published in the journal ....

United States , Krzysztof Kiryluk , Emily Henderson , Columbia University Vagelos College Of Physicians , Columbia University Vagelos College , Digital Medicine , Ning Shang , ஒன்றுபட்டது மாநிலங்களில் , எமிலி ஹென்டர்சன் , டிஜிட்டல் மருந்து ,