Application of Naïve Bayesian sequential analysis to primary care optometry
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Summary
Investigation of the effects of circularity, comorbidity, prevalence and presentation variation on the accuracy of differential diagnoses made in optometric primary care using a modified form of naive Bayesian sequential analysis found that accuracy was influenced primarily by prevalence followed by presentation variation and comorbridity.
- Type
- dissertation
- Published
- 2014-10-06
- Cited by
- 2
- References
- 131
- Access
- Open access
- OpenAlex
- https://openalex.org/W54858356
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:67884882
Keywords
Medical diagnosis, Medicine, Comorbidity, Bayesian probability, Medical history
References
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- Automated Decision Tree Classification of Keratoconus From Videokeratography
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