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Visualization and Prediction of Disease Interactions with Continuous-Time Hidden Markov Models
Jose M. Leiva-Murillo
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Oznake: computer science;machine learning;markov processes
This paper describes a method for discovering disease relationships and the evolution of diseases from medical records. The method makes use of continuous-time Markov chain models that overcome some drawbacks of the more widely used discrete-time chain models. The model addresses uncertainty in the ...
Leto: 2011 Vir: videolectures.net
Št. zadetkov: 1
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