MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting.

Authors

Yu Sakai
Chen Yang
Shingo Kihira
Nadejda Tsankova
Fahad Khan MD, Lehigh Valley Health NetworkFollow
Adilia Hormigo
Albert Lai
Timothy Cloughesy
Kambiz Nael

Publication/Presentation Date

10-27-2020

Abstract

Patients with gliomas, isocitrate dehydrogenase 1 (

Volume

21

Issue

21

ISSN

1422-0067

Published In/Presented At

Sakai, Y., Yang, C., Kihira, S., Tsankova, N., Khan, F., Hormigo, A., Lai, A., Cloughesy, T., & Nael, K. (2020). MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting. International journal of molecular sciences, 21(21), 8004. https://doi.org/10.3390/ijms21218004

Disciplines

Medicine and Health Sciences

PubMedID

33121211

Department(s)

Department of Pathology and Laboratory Medicine

Document Type

Article