Visible Machine Learning for Biomedicine

Michael K. Yu, Jianzhu Ma, Jasmin Fisher, Jason F. Kreisberg, Benjamin J. Raphael, Trey Ideker
2018 Cell  
A major ambition of artificial intelligence lies in translating patient data to successful therapies. Machine learning models face particular challenges in biomedicine, however, including handling of extreme data heterogeneity and lack of mechanistic insight into predictions. Here, we argue for "visible" approaches that guide model structure with experimental biology.
doi:10.1016/j.cell.2018.05.056 pmid:29906441 pmcid:PMC6483071 fatcat:47fodugzonbfze3ad5bgjx5hta