Learning causal and predictive clinical practice guidelines from data

Subramani Mani; Constantin Aliferis; Shanthi Krishnaswami; Theodore Kotchen

Learning causal and predictive clinical practice guidelines from data

Subramani Mani, Constantin Aliferis, Shanthi Krishnaswami, Theodore Kotchen

Institute for Health Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

Abstract

Clinical practice guidelines (CPG) propose preventive, diagnostic and treatment strategies based on the best available evidence. CPG enable practice of evidencebased medicine and bring about standardization of healthcare delivery in a given hospital, region, country or the whole world. This study explores generation of guidelines from data using machine learning, causal discovery methods and the domain of high blood pressure as an example.

Original language	English (US)
Title of host publication	Studies in Health Technology and Informatics
Subtitle of host publication	Building Sustainable Health Systems
Publisher	IOS Press
Pages	850-854
Number of pages	5
Volume	129
Edition	Pt 2
ISBN (Print)	9781586037741
State	Published - 2007
Event	12th World Congress on Medical Informatics, MEDINFO 2007 - Brisbane, QLD, Australia Duration: Aug 20 2007 → Aug 24 2007

Publication series

Name	Studies in Health Technology and Informatics
Volume	129
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	12th World Congress on Medical Informatics, MEDINFO 2007
Country/Territory	Australia
City	Brisbane, QLD
Period	8/20/07 → 8/24/07

Keywords

causal discovery
clinical practice guidelines
compliance
high blood pressure
machine learning
prediction

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Learning causal and predictive clinical practice guidelines from data. / Mani, Subramani; Aliferis, Constantin; Krishnaswami, Shanthi et al.
Studies in Health Technology and Informatics: Building Sustainable Health Systems. Vol. 129 Pt 2. ed. IOS Press, 2007. p. 850-854 (Studies in Health Technology and Informatics; Vol. 129).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mani, S, Aliferis, C, Krishnaswami, S & Kotchen, T 2007, Learning causal and predictive clinical practice guidelines from data. in Studies in Health Technology and Informatics: Building Sustainable Health Systems. Pt 2 edn, vol. 129, Studies in Health Technology and Informatics, vol. 129, IOS Press, pp. 850-854, 12th World Congress on Medical Informatics, MEDINFO 2007, Brisbane, QLD, Australia, 8/20/07.

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Learning causal and predictive clinical practice guidelines from data

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