Kedra, J., Radstake, T., Pandit, A., Baraliakos. X., Berenbaum, F., Finckh, A., Fautrel, B., Stamm, T., Gomez-Cabrero, D., Pristipino, C., Choquet, R., Servy, H., Stones, S., Burmester, G., Gossec, L. (November 2019)
Consult the poster
Background/Purpose: Big data are defined as data sets that are too large or complex for traditional data-processing application software to adequately deal with. Artificial Intelligence (AI) includes various statistical techniques which can deal with big data. The current use of these concepts in publications related to rheumatic and musculoskeletal diseases (RMDs) is unknown. Therefore, the aim of this literature review was to assess the current use of big data and AI in the field of RMDs.
(publication) Kedra, J., Radstake, T., Pandit, A., Baraliakos. X., Berenbaum, F., Finckh, A., Fautrel, B., Stamm, T., Gomez-Cabrero, D., Pristipino, C., Choquet, R., Servy, H., Stones, S., Burmester, G., Gossec, L. (November 2019). The Current State of Big Data Use and Artificial Intelligence in RMDs: A Systematic Literature Review Informing EULAR Recommendations [abstract]. Arthritis Rheumatol, 71(10).
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