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.
Using dynamic time warping to find patterns in time series, in: In Pro- ceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (AAAIWS’94), p
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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.