Abstract
The development of an expert system for the detection of adverse drug reactions based on the epidemiological approach and careful monitorization of a random sample of inpatients is proposed. Clinical parameters at the time of admission to hospital are taken as a starting point to assess new manifestations appearing during hospitalization. The newly developed signs and symptoms are sequentially introduced in a data base and analyzed using causality algorithms and statistical tests. Any statistically significant observation made or causality association established are entered into a medical knowledge data base. The expert system proposed may be used as a consultation tool or therapeutical decision aid.
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© 1991 Springer-Verlag Berlin Heidelberg
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Juan-Babot, O. et al. (1991). Development of an Expert System for the Detection of Adverse Drug Reactions. In: Adlassnig, KP., Grabner, G., Bengtsson, S., Hansen, R. (eds) Medical Informatics Europe 1991. Lecture Notes in Medical Informatics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93503-9_37
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DOI: https://doi.org/10.1007/978-3-642-93503-9_37
Publisher Name: Springer, Berlin, Heidelberg
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