Sáez Silvestre, Carlos; Gutiérrez-Sacristán, Alba; Kohane, Isaac; Garcia-Gomez, Juan M; Avillach, Paul(Oxford University Press, 2020-07-30)
[EN] Background: Temporal variability in health-care processes or protocols is intrinsic to medicine. Such variability can potentially introduce dataset shifts, a data quality issue when reusing electronic health records ...
Sáez Silvestre, Carlos; Pereira Rodrigues, Pedro; Gama, João; Robles Viejo, Montserrat; García Gómez, Juan Miguel(Springer Verlag (Germany), 2014-09-02)
Knowledge discovery on biomedical data can be based on on-line, data-stream analyses, or using retrospective, timestamped, off-line datasets. In both cases, changes in the processes that generate data or in their quality ...
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 ...
Sáez Silvestre, Carlos; Robles Viejo, Montserrat; García Gómez, Juan Miguel(SAGE Publications (UK and US), 2014-08-04)
[EN] Biomedical data may be composed of individuals generated from distinct, meaningful
sources. Due to possible contextual biases in the processes that generate data,
there may exist an undesirable and unexpected ...