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Li et al., 2019 - Google Patents

Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies

Li et al., 2019

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Document ID
6690885841495477981
Author
Li Z
McComick T
Clark S
Publication year
Publication venue
Bayesian analysis

External Links

Snippet

Learning dependence relationships among variables of mixed types provides insights in a variety of scientific settings and is a well-studied problem in statistics. Existing methods, however, typically rely on copious, high quality data to accurately learn associations. In this …
Continue reading at pmc.ncbi.nlm.nih.gov (HTML) (other versions)

Classifications

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    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
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    • G06Q10/00Administration; Management

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