Sáez Silvestre, Carlos; Romero, Nekane; Conejero, J. Alberto; Garcia-Gomez, Juan M(Oxford University Press, 2021-02)
[EN] Objective: The lack of representative coronavirus disease 2019 (COVID-19) data is a bottleneck for reliable and generalizable machine learning. Data sharing is insufficient without data quality, in which source ...
Sáez Silvestre, Carlos(Editorial Universitat Politècnica de València, 2016-04-05)
[EN] Nowadays, biomedical research and decision making depend to a great extent on the data stored in information systems. As a consequence, a lack of data quality (DQ) may lead to suboptimal decisions, or hinder the derived ...