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A neural network - based algorithm for predicting stone -free status after ESWL therapy
OBJECTIVE: The prototype artificial neural network (ANN) model was developed using data from patients with renal stone, in order to predict stone-free status and to help in planning treatment with Extracorporeal Shock Wave Lithotripsy (ESWL) for kidney stones. MATERIALS AND METHODS: Data were collec...
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| Gepubliceerd in: | Int Braz J Urol |
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| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Sociedade Brasileira de Urologia
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5734074/ https://ncbi.nlm.nih.gov/pubmed/28727384 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1590/S1677-5538.IBJU.2016.0630 |
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