[PDF][PDF] Visible machine learning for biomedicine
Cell, 2018•cell.com
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.
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.
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.
cell.com