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Machine Learning Models to Forecast Outcomes of Pituitary Surgery: A Systematic Review in Quality of Reporting and Current Evidence
Background: The complex nature and heterogeneity involving pituitary surgery results have increased interest in machine learning (ML) applications for prediction of outcomes over the last decade. This study aims to systematically review the characteristics of ML models involving pituitary surgery ou...
Autores principales: | Rech, Matheus M., de Macedo Filho, Leonardo, White, Alexandra J., Perez-Vega, Carlos, Samson, Susan L., Chaichana, Kaisorn L., Olomu, Osarenoma U., Quinones-Hinojosa, Alfredo, Almeida, Joao Paulo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046799/ https://www.ncbi.nlm.nih.gov/pubmed/36979305 http://dx.doi.org/10.3390/brainsci13030495 |
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