TY  - GEN
AU  - Zacharaki,E I
AU  - Morita,N
AU  - Bhatt,P
AU  - O'Rourke,D M
AU  - Melhem,E R
AU  - Davatzikos,C
TI  - Survival analysis of patients with high-grade gliomas based on data mining of imaging variables
SN  - 1936-959X
PY  - 2013///0118
KW  - Adult
KW  - Aged
KW  - Aged, 80 and over
KW  - Algorithms
KW  - Artificial Intelligence
KW  - Brain Neoplasms
KW  - mortality
KW  - Data Mining
KW  - Databases, Factual
KW  - Decision Support Systems, Clinical
KW  - Female
KW  - Glioma
KW  - Humans
KW  - Image Interpretation, Computer-Assisted
KW  - methods
KW  - Magnetic Resonance Imaging
KW  - Male
KW  - Middle Aged
KW  - Pattern Recognition, Automated
KW  - Pennsylvania
KW  - epidemiology
KW  - Prevalence
KW  - Proportional Hazards Models
KW  - Reproducibility of Results
KW  - Risk Factors
KW  - Sensitivity and Specificity
KW  - Survival Analysis
KW  - Survival Rate
N1  - Publication Type: Journal Article; Research Support, N.I.H., Extramural
UR  - https://doi.org/10.3174/ajnr.A2939
ER  -