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Uncovering hidden disease patterns by simulating clinical diagnostic processes
Choosing a sequence of observations (often with stochastic outcomes) which maximizes the information gain from a system of interacting variables is essential for a wide range of problems in science and technology, such as clinical diagnostic problems. Here, we use a probabilistic model of diseases a...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799257/ https://www.ncbi.nlm.nih.gov/pubmed/29402991 http://dx.doi.org/10.1038/s41598-018-20826-y |