AIMC Topic: Selection Bias

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Using machine learning to identify structural breaks in single-group interrupted time series designs.

Journal of evaluation in clinical practice Apr 19, 2016
RATIONALE, AIMS AND OBJECTIVES: Single-group interrupted time series analysis (ITSA) is a popular evaluation methodology in which a single unit of observation is being studied, the outcome variable is serially ordered as a time series and the interve...
Humans Machine Learning Research Design Female Adult Male Middle Aged Discriminant Analysis Selection Bias Interrupted Time Series Analysis
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The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes.

Medical decision making : an international journal of the Society for Medical Decision Making Dec 1, 2014
OBJECTIVE: To evaluate the impact of the synthetic minority oversampling technique (SMOTE) on the performance of probabilistic neural network (PNN), naïve Bayes (NB), and decision tree (DT) classifiers for predicting diabetes in a prospective cohort ...
Humans Neural Networks, Computer Algorithms Prospective Studies Female Risk Factors Adult Sensitivity and Specificity Male Middle Aged Diabetes Mellitus, Type 2 Models, Theoretical Socioeconomic Factors Decision Trees Bayes Theorem Selection Bias Iran Minority Groups
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Citations alone were enough to predict favorable conclusions in reviews of neuraminidase inhibitors.

Journal of clinical epidemiology Oct 22, 2014
OBJECTIVES: To examine the use of supervised machine learning to identify biases in evidence selection and determine if citation information can predict favorable conclusions in reviews about neuraminidase inhibitors.
Humans Artificial Intelligence Research Design Review Literature as Topic Publications Influenza, Human Selection Bias Neuraminidase Enzyme Inhibitors
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The Impact of Undersampling on the Predictive Performance of Logistic Regression and Machine Learning Algorithms: A Simulation Study.

Epidemiology (Cambridge, Mass.) Sep 1, 2020
Humans Machine Learning Algorithms Computer Simulation Logistic Models Selection Bias
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