Analysis of epidemiological association patterns of serum thyrotropin by combining random forests and Bayesian networks
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DOI: 10.1371/journal.pone.0271610
Abstract: Background Approaching epidemiological data with flexible machine learning algorithms is of great value for understanding disease-specific association patterns. However, it can be difficult to correctly extract and understand those patterns due to the lack of… read more here.
Keywords: forests bayesian; association patterns; bayesian networks; combining random ... See more keywords