Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional de Colombia
2020
|
| Subjects: | |
| Online Access: | https://www.redalyc.org/articulo.oa?id=576366656016 https://www.redalyc.org/journal/5763/576366656016/ https://www.redalyc.org/journal/5763/576366656016/html/ https://www.redalyc.org/journal/5763/576366656016/576366656016.epub https://www.redalyc.org/journal/5763/576366656016/movil |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Big data, pharmacoepidemiology and pharmacovigilance Jorge Andrés Sánchez-Duque Andrés Gaviria-Mendoza Paula Andrea Moreno-Gutiérrez Jorge Enrique Machado-Alba Medicina Data Mining Data Accuracy Machine Learning Registries (MeSH) Artificial Intelligence Big data is a term that comprises a group of technological tools capable of processing extremely large heterogeneous data sets, which are continuously collected and are available to be used at any time, and, therefore, constitutes a source of scientific evidence production. In the pharmacoepidemiology field, analyses made using these data sets may result in the development of pharmacological therapies that are more efficient, less expensive, and have a lower occurrence rate of adverse reactions. Likewise, the use of tools such as Text Mining or Machine Learning has led to major advances in pharmacoepidemiology and pharmacovigilance areas, so it is likely that these tools will be increasingly used over time. 2020 artículo científico 2357-3848 https://www.redalyc.org/articulo.oa?id=576366656016 https://www.redalyc.org/journal/5763/576366656016/ https://www.redalyc.org/journal/5763/576366656016/html/ https://www.redalyc.org/journal/5763/576366656016/576366656016.epub https://www.redalyc.org/journal/5763/576366656016/movil 10.15446/revfacmed.v68n1.73456 en http://www.redalyc.org/revista.oa?id=5763 Revista de la Facultad de Medicina application/pdf Universidad Nacional de Colombia Revista de la Facultad de Medicina (Colombia) Num.1 Vol.68