Learning ensemble classifiers for diabetic retinopathy assessment.
Saleh, Emran
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
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