Learning Bayesian networks for clinical time series analysis

Journal of Biomedical Informatics
Maarten van der HeijdenPeter J F Lucas

Abstract

Autonomous chronic disease management requires models that are able to interpret time series data from patients. However, construction of such models by means of machine learning requires the availability of costly health-care data, often resulting in small samples. We analysed data from chronic obstructive pulmonary disease (COPD) patients with the goal of constructing a model to predict the occurrence of exacerbation events, i.e., episodes of decreased pulmonary health status. Data from 10 COPD patients, gathered with our home monitoring system, were used for temporal Bayesian network learning, combined with bootstrapping methods for data analysis of small data samples. For comparison a temporal variant of augmented naive Bayes models and a temporal nodes Bayesian network (TNBN) were constructed. The performances of the methods were first tested with synthetic data. Subsequently, different COPD models were compared to each other using an external validation data set. The model learning methods are capable of finding good predictive models for our COPD data. Model averaging over models based on bootstrap replications is able to find a good balance between true and false positive rates on predicting COPD exacerbation events. Te...Continue Reading

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References

Mar 19, 2002·Respirology : Official Journal of the Asian Pacific Society of Respirology·Wan C Tan
Oct 30, 2003·Briefings in Bioinformatics·Sun Yong KimSatoru Miyano
Mar 3, 2004·American Journal of Respiratory and Critical Care Medicine·Tom M A WilkinsonJadwiga A Wedzicha
Apr 15, 2004·Artificial Intelligence in Medicine·Silvia AcidJosé Luis Salcedo
Sep 4, 2007·Lancet·Jadwiga A Wedzicha, Terence A R Seemungal
Nov 6, 2007·The European Respiratory Journal·G ViegiL Carrozzi
Mar 14, 2008·Journal of Biomedical Informatics·Marcel A J van GervenPeter J F Lucas
Mar 6, 2009·Journal of the American Medical Informatics Association : JAMIA·Blanca E HimesMarco F Ramoni
Jul 10, 2010·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Jim BasilakisBranko G Celler
Sep 17, 2011·The European Respiratory Journal·Erik W M A BischoffTjard R J Schermer
Mar 19, 2013·Journal of Biomedical Informatics·Maarten van der HeijdenTjard R J Schermer

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Citations

Oct 22, 2016·Proceedings of the IEEE·Alistair E W JohnsonGari D Clifford
May 18, 2016·Journal of Biomedical Informatics·Marcos L P BuenoJoost G E Janzing
Aug 2, 2018·Computational and Mathematical Methods in Medicine·Tao ZhangWenyuan Liu
Apr 5, 2020·Journal of Personalized Medicine·Gopi BattineniFrancesco Amenta
May 23, 2021·Artificial Intelligence in Medicine·Evangelia KyrimiScott McLachlan
Jun 16, 2021·Artificial Intelligence in Medicine·Evangelia KyrimiNorman Fenton

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