ArticleBMC infectious diseases2010
Cluster analysis for identifying sub-groups and selecting potential discriminatory variables in human encephalitis.
Article in BMC infectious diseases, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 34 citations in OpenAlex.
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- A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Addictive profiles of Lebanese university students in terms of smoking, alcohol, and illegal drug use.Environmental science and pollution research international · 2021Article
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- Identification of 6 dermatomyositis subgroups using principal component analysis-based cluster analysis.International journal of rheumatic diseases · 2019Article
- Applying Machine Learning Algorithms to Segment High-Cost Patient Populations.Journal of general internal medicine · 2019Article
- An unsupervised machine learning method for discovering patient clusters based on genetic signatures.Journal of biomedical informatics · 2018Article
- Validity, Reliability and Acceptability of the Team Standardized Assessment of Clinical Encounter Report.Canadian geriatrics journal : CGJ · 2016Article
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- Functional status of children with encephalitis in an inpatient rehabilitation setting: a case series.Journal of pediatric rehabilitation medicine · 2013Article
- Potential risk factors associated with human encephalitis: application of canonical correlation analysis.BMC medical research methodology · 2011Article
- N-methyl D-aspartate receptor encephalitis: A new addition to the spectrum of autoimmune encephalitis.Annals of Indian Academy of Neurology · 2011Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundEncephalitis is an acute clinical syndrome of the central nervous system (CNS), often associated with fatal outcome or permanent damage, including cognitive and behavioural impairment, affective disorders and epileptic seizures. Infection of the central nervous system is considered to be a major cause of encephalitis and more than 100 different pathogens have been recognized as causative agents. However, a large proportion of cases have unknown disease etiology.
methodsWe perform hierarchical cluster analysis on a multicenter England encephalitis data set with the aim of identifying sub-groups in human encephalitis. We use the simple matching similarity measure which is appropriate for binary data sets and performed variable selection using cluster heatmaps. We also use heatmaps to visually assess underlying patterns in the data, identify the main clinical and laboratory features and identify potential risk factors associated with encephalitis.
resultsOur results identified fever, personality and behavioural change, headache and lethargy as the main characteristics of encephalitis. Diagnostic variables such as brain scan and measurements from cerebrospinal fluids are also identified as main indicators of encephalitis. Our analysis revealed six major clusters in the England encephalitis data set. However, marked within-cluster heterogeneity is observed in some of the big clusters indicating possible sub-groups. Overall, the results show that patients are clustered according to symptom and diagnostic variables rather than causal agents. Exposure variables such as recent infection, sick person contact and animal contact have been identified as potential risk factors.
conclusionsIt is in general assumed and is a common practice to group encephalitis cases according to disease etiology. However, our results indicate that patients are clustered with respect to mainly symptom and diagnostic variables rather than causal agents. These similarities and/or differences with respect to symptom and diagnostic measurements might be attributed to host factors. The idea that characteristics of the host may be more important than the pathogen is also consistent with the observation that for some causes, such as herpes simplex virus (HSV), encephalitis is a rare outcome of a common infection.
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