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.
Real-time prediction of mortality, readmission, and length of stay us- ing electronic health record data
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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.