paper: sparser clinical prediction models
- 1 min Our paper on sparser clinical prediction models with a focus on treatment response in depression has been published in BMC Medical Informatics and Decision Making. We show that simultaneous/nested feature selection and hyperparameter tuning can increase the efficiency of prediction models without sacrificing performance. Read the paper here, it’s open access!