Optimization of clinical decision support based on Pearson correlation of attributes
Clinical decision support is very important especially in such a wide-spread disease as a coronary artery disease. A large variety of prediction methods can potentially solve the classification problem to support clinical decisions. However, not all of them provide similar efficiency for the classif...
Gespeichert in:
| Hauptverfasser: | , , |
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| Dokumenttyp: | Kapitel/Artikel Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
2019
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| In: |
Phealth 2019
Year: 2019, Pages: 199-204 |
| DOI: | 10.3233/978-1-61499-975-1-199 |
| Online-Zugang: | Verlag: https://doi.org/10.3233/978-1-61499-975-1-199
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| Verfasserangaben: | Aleksei Dudchenko, Matthias Ganzinger, Georgy Kopanitsa |
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Optimization of clinical decision support based on Pearson correlation of attributes
Kapitel/Artikel
Konferenzschrift