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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Systematic Review
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

Internet

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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