A Data Representation Model for Personalized Medicine

Personalized medicine exploits the patient data, for example, genetic compositions, and key biomarkers. During the data mining process, the key challenges are the information loss, the data types heterogeneity and the time series representation. In this paper, a novel data representation model for p...

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Veröffentlicht in:	International journal of healthcare information systems and informatics 2021, Vol.16 (4), p.1-25
Hauptverfasser:	Kadi, Hafid, Rebbah, Mohammed, Meftah, Boudjelal, Lézoray, Olivier
Format:	Artikel
Sprache:	eng
Schlagworte:	Bioinformatics Biomarkers Boolean Clustering Computer Science Customization Data mining Heterogeneity Mathematical models Precision medicine Representations Time series
Online-Zugang:	Volltext
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