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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Detalles Bibliográficos
Autores principales: Seckiner, Ilker, Seckiner, Serap, Sen, Haluk, Bayrak, Omer, Dogan, Kazım, Erturhan, Sakip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Urologia 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734074/
https://www.ncbi.nlm.nih.gov/pubmed/28727384
http://dx.doi.org/10.1590/S1677-5538.IBJU.2016.0630

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734074/
https://www.ncbi.nlm.nih.gov/pubmed/28727384
http://dx.doi.org/10.1590/S1677-5538.IBJU.2016.0630

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