https://www.selleckchem.com/pr....oducts/netarsudil-ar
stable/improving) and continuous variables; they achieved, respectively, an area under the curve of 0.81 (95% confidence interval, 0.76-0.84) and a mean absolute error of 4.4 (95% confidence interval, 4.0-4.7). Leveraging the predictive value resulting from the combination of independent variables, the random forest classifier outperformed conventional statistics (area under the curve improvement of+21%). Two robust ML-based prediction models were successfully trained and internally validated. Considerable effort remains to
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