Evaluation of data processing pipelines on real-world electronic health records data for the purpose of measuring patient similarity
The ever-growing size, breadth, and availability of patient data allows for a wide variety of clinical features to serve as inputs for phenotype discovery using cluster analysis. Data of mixed types in particular are not straightforward to combine into a single feature vector, and techniques used to...
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Veröffentlicht in: | PloS one 2023-06, Vol.18 (6), p.e0287264-e0287264 |
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