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pathological fibrosis

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Association of Pathological Fibrosis With Renal Survival Using Deep Neural Networks

#artificialintelligenceFeb-11-2018, 04:34:32 GMT

Color to a set of bars within the histogram was assigned based on the Kidney Disease Outcomes Quality Initiative (KDOQI) guideline driven cutoff values for high and low creatinine. Model predictions were performed on the remaining 30% of the data (n 662), and a receiver operating characteristic (ROC) curve was generated. Color to a set of bars within the histogram was assigned based on the KDOQI guideline driven cutoff value for nephrotic-range proteinuria (g/d). Model predictions were performed on the remaining 30% of the data (n 648), and an ROC curve was generated.

artificial intelligence, machine learning, pathological fibrosis, (14 more...)

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Industry: Health & Medicine > Therapeutic Area > Nephrology (0.52)

Technology:

Information Technology > Artificial Intelligence > Machine Learning > Performance Analysis > Accuracy (1.00)
Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)

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