Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis

OBJECTIVES: To systematically review, assess the reporting quality of, and discuss improvement opportunities for studies describing machine learning (ML) models for glioma grade prediction. METHODS: This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses of Diagnos...

Descripción completa

Detalles Bibliográficos
Autores principales: Bahar, Ryan C., Merkaj, Sara, Cassinelli Petersen, Gabriel I., Tillmanns, Niklas, Subramanian, Harry, Brim, Waverly Rose, Zeevi, Tal, Staib, Lawrence, Kazarian, Eve, Lin, MingDe, Bousabarah, Khaled, Huttner, Anita J., Pala, Andrej, Payabvash, Seyedmehdi, Ivanidze, Jana, Cui, Jin, Malhotra, Ajay, Aboian, Mariam S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076130/
https://www.ncbi.nlm.nih.gov/pubmed/35530302
http://dx.doi.org/10.3389/fonc.2022.856231

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076130/
https://www.ncbi.nlm.nih.gov/pubmed/35530302
http://dx.doi.org/10.3389/fonc.2022.856231

Ejemplares similares