Using k-dependence causal forest to mine the most significant dependency relationships among clinical variables for thyroid disease diagnosis
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چکیده
منابع مشابه
Using k-dependence causal forest to mine the most significant dependency relationships among clinical variables for thyroid disease diagnosis
Numerous data mining models have been proposed to construct computer-aided medical expert systems. Bayesian network classifiers (BNCs) are more distinct and understandable than other models. To graphically describe the dependency relationships among clinical variables for thyroid disease diagnosis and ensure the rationality of the diagnosis results, the proposed k-dependence causal forest (KCF)...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2017
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0182070