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
Hauptverfasser: Pikoula, Maria, Kallis, Constantinos, Madjiheurem, Sephora, Quint, Jennifer K, Bafadhel, Mona, Denaxas, Spiros
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Sprache:eng
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