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Building decision trees for diagnosing intracavitary uterine pathology
Objectives: To build decision trees to predict intrauterine disease, based on a clinical data set, and using mathematical software. Methods: Diagnostic algorithms were built and validated using the data of 402 consecutive patients who underwent grey scale ultrasound, followed by colour Doppler, sali...
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| Publicado no: | Facts Views Vis Obgyn |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Universa Press
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4255509/ https://ncbi.nlm.nih.gov/pubmed/25489463 |
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