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.
['Jitendra Jonnagaddala', 'Siaw-Teng Liaw', 'Pradeep Ray']
Impact of data quality assessment on development of clinical predictive models.