Learning ensemble classifiers for diabetic retinopathy assessment. [electronic resource]
- Artificial intelligence in medicine 04 2018
- 50-63 p. digital
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
1873-2860
10.1016/j.artmed.2017.09.006 doi
Clinical Decision-Making Decision Support Systems, Clinical Decision Support Techniques Decision Trees Diabetes Mellitus, Type 1--complications Diabetes Mellitus, Type 2--complications Diabetic Retinopathy--diagnosis Electronic Health Records Fuzzy Logic Humans Machine Learning Predictive Value of Tests Prognosis Reproducibility of Results Risk Assessment Risk Factors Time Factors