1 code implementation • 10 Feb 2022 • Shubhayu Bhattacharyay, Ioan Milosevic, Lindsay Wilson, David K. Menon, Robert D. Stevens, Ewout W. Steyerberg, David W. Nelson, Ari Ercole, the CENTER-TBI investigators/participants
We analysed the effect of 2 design elements on ordinal model performance: (1) the baseline predictor set, ranging from a concise set of 10 validated predictors to a token-embedded representation of all possible predictors, and (2) the modelling strategy, from ordinal logistic regression to multinomial deep learning.
1 code implementation • 9 Feb 2020 • Han B. Kim, Hieu Nguyen, Qingchu Jin, Sharmila Tamby, Tatiana Gelaf Romer, Eric Sung, Ran Liu, Joseph Greenstein, Jose I. Suarez, Christian Storm, Raimond Winslow, Robert D. Stevens
Combined EHR-PTS24 models had higher discrimination (area under the receiver operating characteristic curve [AUC]) than models which used either EHR or PTS24 alone, for the prediction of survival (AUC 0. 85, 0. 80 and 0. 68 respectively) and neurological outcome (0. 87, 0. 83 and 0. 78).