Detection of Adverse Reaction to Drugs in Elderly Patients through Predictive Modeling

• Main Author: Rafael San-Miguel Carrasco
• Format: Article
• Language: English
• Published: Universidad Internacional de La Rioja (UNIR) 2016-03-01
• Series: International Journal of Interactive Multimedia and Artificial Intelligence
• Subjects: Analysis; Big Data; Data Mining; Drugs; Knowledge Management; Medicine; Predictive Modelling
• Online Access: http://www.ijimai.org/journal/node/939

Geriatrics Medicine constitutes a clinical research field in which data analytics, particularly predictive modeling, can deliver compelling, reliable and long-lasting benefits, as well as non-intuitive clinical insights and net new knowledge. The research work described in this paper leverages predictive modeling to uncover new insights related to adverse reaction to drugs in elderly patients. The differentiation factor that sets this research exercise apart from traditional clinical research is the fact that it was not designed by formulating a particular hypothesis to be validated. Instead, it was data-centric, with data being mined to discover relationships or correlations among variables. Regression techniques were systematically applied to data through multiple iterations and under different configurations. The obtained results after the process was completed are explained and discussed next.