Learning Bayesian networks from demographic and health survey data.

Journal of Biomedical Informatics
Neville Kenneth Kitson, Anthony C Constantinou

Abstract

Child mortality from preventable diseases such as pneumonia and diarrhoea in low and middle-income countries remains a serious global challenge. We combine knowledge with available Demographic and Health Survey (DHS) data from India, to construct Causal Bayesian Networks (CBNs) and investigate the factors associated with childhood diarrhoea. We make use of freeware tools to learn the graphical structure of the DHS data with score-based, constraint-based, and hybrid structure learning algorithms. We investigate the effect of missing values, sample size, and knowledge-based constraints on each of the structure learning algorithms and assess their accuracy with multiple scoring functions. Weaknesses in the survey methodology and data available, as well as the variability in the CBNs generated by the different algorithms, mean that it is not possible to learn a definitive CBN from data. However, knowledge-based constraints are found to be useful in reducing the variation in the graphs produced by the different algorithms, and produce graphs which are more reflective of the likely influential relationships in the data. Furthermore, valuable insights are gained into the performance and characteristics of the structure learning algori...Continue Reading

References

Mar 17, 2009·Health Education Research·Valerie A CurtisRobert V Aunger
Oct 2, 2009·Tropical Medicine & International Health : TM & IH·Wolf-Peter SchmidtVal Curtis
Oct 29, 2009·The American Journal of Tropical Medicine and Hygiene·Stephen P LubyRichard B Johnston
Nov 17, 2009·Social Science & Medicine·Robert AungerValerie Curtis
Jul 23, 2011·Epidemiology and Health·Georges Nguefack-Tsague
Nov 1, 2011·Bioinformatics·Daniel J Stekhoven, Peter Bühlmann
Sep 23, 2014·Genetics·Marco ScutariIan Mackay
Feb 3, 2016·Artificial Intelligence in Medicine·Anthony Costa ConstantinouLukasz Radlinski
Jun 4, 2017·Journal of Infection and Public Health·Dilaram AcharyaVinita Dayal
Feb 7, 2018·Statistical Analysis and Data Mining·Fei Tang, Hemant Ishwaran

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