Visible Machine Learning for Biomedicine.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 29906441.
- Also identified by DOI 10.1016/j.cell.2018.05.056 and PMC identifier 6483071.
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Abstract
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.
Medical subject headings
- Computational Biology
- Machine Learning