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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 statesKrzysztof kirylukEmily hendersonColumbia university vagelos college of physiciansColumbia university vagelos collegeDigital medicineNing shangஒன்றுபட்டது மாநிலங்களில்எமிலி ஹென்டர்சன்டிஜிட்டல் மருந்து