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Nouretdinov et al., 2015 - Google Patents

Multiprobabilistic prediction in early medical diagnoses

Nouretdinov et al., 2015

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Document ID
10753147885584327275
Author
Nouretdinov I
Devetyarov D
Vovk V
Burford B
Camuzeaux S
Gentry-Maharaj A
Tiss A
Smith C
Luo Z
Chervonenkis A
Hallett R
Waterfield M
Cramer R
Timms J
Jacobs I
Menon U
Gammerman A
Publication year
Publication venue
Annals of Mathematics and Artificial Intelligence

External Links

Snippet

This paper describes the methodology of providing multiprobability predictions for proteomic mass spectrometry data. The methodology is based on a newly developed machine learning framework called Venn machines. Is allows to output a valid probability interval. The …
Continue reading at discovery.ucl.ac.uk (PDF) (other versions)

Classifications

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    • G06F19/34—Computer-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
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
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    • G06K9/6278—Bayesian classification
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