| 摘要 |
<p>Use of artificial neural networks for detecting the formation of kidney stones and identifying the chemical composition of such stones, which comprises a multivariate analysis and artificial neural networks (ANN) on a database including from 10 to 14 metabolic markers in urine as analysis parameters selected from the group consisting of urine volume, pH, creatinine levels, uric acid, urea, sodium, potassium, chloride, citrate, calcium, oxalate, magnesium, phosphate and proteinuria.</p> |
