Predicting neurosurgical referral outcomes in patients with chronic subdural hematomas using machine learning algorithms – A multi-center feasibility study

BACKGROUND: Chronic subdural hematoma (CSDH) incidence and referral rates to neurosurgery are increasing. Accurate and automated evidence-based referral decision-support tools that can triage referrals are required. Our objective was to explore the feasibility of machine learning (ML) algorithms in...

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Detalles Bibliográficos
Autores principales: Biswas, Sayan, MacArthur, Joshua Ian, Pandit, Anand, McMenemy, Lareyna, Sarkar, Ved, Thompson, Helena, Saleemi, Mohammad Saleem, Chintzewen, Julian, Almansoor, Zahra Rose, Chai, Xin Tian, Hardman, Emily, Torrie, Christopher, Holt, Maya, Hanna, Thomas, Sobieraj, Aleksandra, Toma, Ahmed, George, K. Joshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Scientific Scholar 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899452/
https://www.ncbi.nlm.nih.gov/pubmed/36751456
http://dx.doi.org/10.25259/SNI_1086_2022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899452/
https://www.ncbi.nlm.nih.gov/pubmed/36751456
http://dx.doi.org/10.25259/SNI_1086_2022

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