Cohen, Mitchell

Human transcriptome array for high-throughput clinical studies

Xu, W., Seok, J., Mindrinos, M. N., Schweitzer, A. C., Jiang, H., Wilhelmy, J., Clark, T. A., Kapur, K., Xing, Y., Faham, M., et al. (2011) · Proceedings of the National Academy of Sciences

Gene expression and cancer classificationGenomics and Phylogenetic Studies

Cited by 124

Machine learning without borders? an adaptable tool to optimize mortality prediction in diverse clinical settings.

Christie, S. A., Hubbard, A. E., Callcut, R. A., Hameed, M., Dissak-Delon, F. N., Mekolo, D., Saidou, A., Mefire, A. C., Nsongoo, P., Dicker, R. A., et al. (2018) · Journal of Trauma and Acute Care Surgery

Trauma and Emergency Care StudiesMachine Learning in Healthcare

Cited by 33

Time-dependent prediction and evaluation of variable importance using superlearning in high-dimensional clinical data.

Hubbard, A., Munoz, I. D., Decker, A., Holcomb, J. B., Schreiber, M. A., Bulger, E. M., Brasel, K. J., Fox, E. E., del Junco, D. J., Wade, C. E., et al. (2013) · Journal of Trauma and Acute Care Surgery

Statistical Methods and InferenceMachine Learning in Healthcare

Cited by 32