A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Artie_Basukoski>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Nichalini_Kandasamy>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Thierry_J._Chaussalet>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.3233%2FSHTI230459>
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dcterms:issued	2023 (xsd:gYear)
rdfs:label	A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining. (xsd:string)
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dc:title	A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining. (xsd:string)
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