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Impact of data quality assessment on development of clinical predictive models
Jitendra Jonnagaddala, Siaw-Teng Liaw, Pradeep Ray
1069
10.3233/978-1-61499-564-7-1069
Studies in Health Technology and Informatics
Volume 216: MEDINFO 2015: eHealth-enabled Health
Abstract

Data quality plays a very important role in predicting clinical outcomes. Data quality is multi dimensional and most relevant studies consider just one or two dimensions. In this study a systematic data quality assessment is performed using four data dimensions. The results demonstrate that performance of predictive models improves when the quality of the data is assessed and addressed systematically.

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