A patient-similarity pipeline using Spark-based DTW and target-aware aWOE feature transformation is claimed to improve CAD and CHF prediction, but the experimental design leaks label information into the features.
Similarity Measures and Dimensionality Reduction Techniques for Time Series Data Mining
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Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data
A patient-similarity pipeline using Spark-based DTW and target-aware aWOE feature transformation is claimed to improve CAD and CHF prediction, but the experimental design leaks label information into the features.