Machine Learning-Based Prediction of 6-Month Postoperative Karnofsky Performance Status in Patients with Glioblastoma: Capturing the Real-Life Interaction of Multiple Clinical and Oncologic Factors

Giuseppe Maria Della Pepa; Grazia Menna; Tamara Ius; Anna Maria Auricchio; Silvia Chiesa; Simona Gaudino; Enrico Marchese; Alessandro Olivi

doi:10.1016/j.wneu.2021.01.082

Machine Learning-Based Prediction of 6-Month Postoperative Karnofsky Performance Status in Patients with Glioblastoma: Capturing the Real-Life Interaction of Multiple Clinical and Oncologic Factors

Giuseppe Maria Della Pepa
, Grazia Menna
, Tamara Ius
, Anna Maria Auricchio
, Silvia Chiesa
, Simona Gaudino
, Enrico Marchese
, Alessandro Olivi

University Hospital Udine

Risultato della ricerca: Contributo in rivista › Articolo

Lingua originale	Inglese
pagine (da-a)	e866-e876
Rivista	World Neurosurgery
Volume	149
DOI	https://doi.org/10.1016/j.wneu.2021.01.082
Stato di pubblicazione	Pubblicato - 2021

Keywords

machine learning

Accesso al documento

10.1016/j.wneu.2021.01.082

Altri file e collegamenti

Link a IRIS PubliCatt

Cita questo

Della Pepa, G. M., Menna, G., Ius, T., Auricchio, A. M., Chiesa, S., Gaudino, S., Marchese, E., & Olivi, A. (2021). Machine Learning-Based Prediction of 6-Month Postoperative Karnofsky Performance Status in Patients with Glioblastoma: Capturing the Real-Life Interaction of Multiple Clinical and Oncologic Factors. World Neurosurgery, 149, e866-e876. https://doi.org/10.1016/j.wneu.2021.01.082

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title = "Machine Learning-Based Prediction of 6-Month Postoperative Karnofsky Performance Status in Patients with Glioblastoma: Capturing the Real-Life Interaction of Multiple Clinical and Oncologic Factors",

keywords = "machine learning, machine learning",

author = "\{Della Pepa\}, \{Giuseppe Maria\} and Grazia Menna and Tamara Ius and Auricchio, \{Anna Maria\} and Silvia Chiesa and Simona Gaudino and Enrico Marchese and Alessandro Olivi",

year = "2021",

doi = "10.1016/j.wneu.2021.01.082",

language = "English",

volume = "149",

pages = "e866--e876",

journal = "World Neurosurgery",

issn = "1878-8750",

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Della Pepa, GM, Menna, G, Ius, T, Auricchio, AM, Chiesa, S, Gaudino, S , Marchese, E & Olivi, A 2021, 'Machine Learning-Based Prediction of 6-Month Postoperative Karnofsky Performance Status in Patients with Glioblastoma: Capturing the Real-Life Interaction of Multiple Clinical and Oncologic Factors', World Neurosurgery, vol. 149, pagg. e866-e876. https://doi.org/10.1016/j.wneu.2021.01.082

Machine Learning-Based Prediction of 6-Month Postoperative Karnofsky Performance Status in Patients with Glioblastoma: Capturing the Real-Life Interaction of Multiple Clinical and Oncologic Factors. / Della Pepa, Giuseppe Maria; Menna, Grazia; Ius, Tamara et al.
In: World Neurosurgery, Vol. 149, 2021, pag. e866-e876.

Risultato della ricerca: Contributo in rivista › Articolo

TY - JOUR

T1 - Machine Learning-Based Prediction of 6-Month Postoperative Karnofsky Performance Status in Patients with Glioblastoma: Capturing the Real-Life Interaction of Multiple Clinical and Oncologic Factors

AU - Della Pepa, Giuseppe Maria

AU - Menna, Grazia

AU - Ius, Tamara

AU - Auricchio, Anna Maria

AU - Chiesa, Silvia

AU - Gaudino, Simona

AU - Marchese, Enrico

AU - Olivi, Alessandro

PY - 2021

Y1 - 2021

KW - machine learning

UR - http://hdl.handle.net/10807/271364

U2 - 10.1016/j.wneu.2021.01.082

DO - 10.1016/j.wneu.2021.01.082

M3 - Article

SN - 1878-8750

VL - 149

SP - e866-e876

JO - World Neurosurgery

JF - World Neurosurgery

ER -