Before revision:  Machine learning methods provide a platform  for development of deployment-ready classification models robust to the smaller, more heterogeneous datasets typical of healthcare. Identification of promising classifiers is dependent, in part, on hyperparameter optimization (HO) , for which a number of approaches including grid search, random sampling and Bayesian optimization have been shown to be effective.
After revision:  Machine learning methods provide a platform for development of deployment-ready classification models . Prioritization of promising classifiers is dependent, in part, on hyperparameter optimization (HO) , for which a number of approaches including grid search, random sampling and Bayesian optimization have been shown to be effective.