Lena Stempfle
Visar 10 publikationer
Predicting Melanomia in the Swedish Population Using Machine Learning on Registry Data
Handling missing values in clinical machine learning: Insights from an expert study
Prediction Models That Learn to Avoid Missing Values
Interpretable Machine Learning for Prediction with Missing Values at Test Time
How Should We Represent History in Interpretable Models of Clinical Policies?
MINTY: Rule-based Models that Minimize the Need for Imputing Features with Missing Values
Interpretable machine learning models for predicting with missing values
Sharing Pattern Submodels for Prediction with Missing Values
Predicting progression and cognitive decline in amyloid-positive patients with Alzheimer’s disease
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