Pharm-AutoML: An open-source, end-to-end automated machine learning package for clinical outcome prediction.

ABSTRACT: Although there is increased interest in utilizing machine learning (ML) to support drug development, technical hurdles associated with complex algorithms have limited widespread adoption. In response, we have developed Pharm-AutoML, an open-source Python package that enables users to automate the construction of ML models and predict clinical outcomes, especially in the context of pharmacological interventions. In particular, our approach streamlines tedious steps within the ML workflow, including data preprocessing, model tuning, model selection, results analysis, and model interpretation. Moreover, our open-source package helps to identify the most predictive ML pipeline among defined search spaces by selecting the best data preprocessing strategy and tuning the ML model hyperparameters.

SUBMITTER: Liu G 

PROVIDER: S-EPMC8129712 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature