Machine Learning Prediction of Visual Outcome after Surgical Decompression of Sellar Region Tumors

Introduction: This study aims to develop a machine learning-based model integrating clinical and ophthalmic features to predict visual outcomes after transsphenoidal resection of sellar region tumors. Methods: Adult patients with optic chiasm compression by a sellar region tumor were examined to dev...

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Detalles Bibliográficos
Autores principales: Qiao, Nidan, Ma, Yichen, Chen, Xiaochen, Ye, Zhao, Ye, Hongying, Zhang, Zhaoyun, Wang, Yongfei, Lu, Zhaozeng, Wang, Zhiliang, Xiao, Yiqin, Zhao, Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879436/
https://www.ncbi.nlm.nih.gov/pubmed/35207641
http://dx.doi.org/10.3390/jpm12020152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879436/
https://www.ncbi.nlm.nih.gov/pubmed/35207641
http://dx.doi.org/10.3390/jpm12020152

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