QOL-22. MACHINE-LEARNING INFERENCE MAY PREDICT QUALITY OF LIFE SUBGROUPS OF ADAMANTINOMATOUS CRANIOPHARYNGIOMA

BACKGROUND: Due to disease and/or treatment-related injury, such as hypothalamic, visual, and endocrine damage, quality of life (QoL) scores after childhood-onset Adamantinomatous Craniopharyngioma (ACP) are among the lowest of all pediatric brain tumors. Decision-making regarding management would b...

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Detalles Bibliográficos
Autores principales: Hengartner, Astrid C, Prince, Eric, Staulcup, Susan, Vijmasi, Trinka, Souweidane, Mark, Jackson, Eric M, Johnston, James M, Anderson, Richard C E, Naftel, Robert P, Grant, Gerald, Niazi, Toba N, Dudley, Roy, Limbrick, David D, Ginn, Kevin, Smith, Amy, Kilburn, Lindsay, Jallo, George, Wilkening, Greta, Hankinson, Todd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Neuropsychology/Quality of Life
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715913/
http://dx.doi.org/10.1093/neuonc/noaa222.684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715913/
http://dx.doi.org/10.1093/neuonc/noaa222.684

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