Attributes for causal inference in electronic healthcare databases

Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems

Volumn , Issue , 2013, Pages 548-549

  Reps, Jenna ^a   Garibaldi, Jonathan M ^a   Aickelin, Uwe ^a   Soria, Daniele ^a   Gibson, Jack E ^b   Hubbard, Richard B ^b  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b NOTTINGHAM CITY HOSPITAL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL INFERENCES; ELECTRONIC HEALTHCARE; PRESCRIPTION DRUGS; SIDE EFFECT;

COMPUTER SCIENCE;

ALGORITHMS;

EID: 84889030338     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2013.6627871     Document Type: Conference Paper

References (5)

1. A. Bradford-Hill. The environment and disease: Association or causation? Proceedings of the Royal Society of Medicine, 58:295-300, 1965.
2. M. A. Hall. Correlation-based feature selection for machine learning. Technical report, 1999.
3. G. N. Noren, J. Hopstadius, A. Bate, and et al. Temporal pattern discovery in longitudinal electronic patients records. Data Min Knowl Disc, 20:361-387, 2010.
4. M. J. Schuemie. Methods for drug safety signal detection in longitudinal observational databases: LGPS and LEOPARD. Pharmacoepidemiol Drug Saf, 20(3):292-299, 2011.
5. C. L. Sistrom and C. W. Garvan. Proportions, odds and risk. Radiologyt, 230:12-19, 2004.