Integration of Machine Learning and Pharmacogenomic Biomarkers for Predicting Response to Antidepressant Treatment: Can Computational Intelligence be used to Augment Clinical Assessments?

machine learning tools are designed to serve as companions, allowing clinicians to focus on a smaller and more meaningful set of measures (among the hundreds of clinical and demographic factors and potentially millions of genomic variants) that are most prognostic of treatment outcomes in a given patient "