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risk-of-stone

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Navjotkhatri / Kidney-Stone-Prediction-

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Supervised ML - Classification Using Python This dataset can be used to predict the presence of kidney stones based on urine analysis. The 79 urine specimens, were analyzed in an effort to determine if certain physical characteristics of the urine might be related to the formation of calcium oxalate crystals.

machine-learning-algorithms classification test-results risk-of-stone predicting-the-risk patient-characteristics
  • Updated Aug 5, 2023
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