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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Universa Press
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4255509/ https://www.ncbi.nlm.nih.gov/pubmed/25489463 |