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A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes.

, , , , , , , , , , and . AIME, volume 9105 of Lecture Notes in Computer Science, page 172-176. Springer, (2015)

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A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes., , , , , , , , , and 1 other author(s). AIME, volume 9105 of Lecture Notes in Computer Science, page 172-176. Springer, (2015)What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project., , , , , , , , , and 11 other author(s). BMC Medical Informatics Decis. Mak., 19 (1): 163:1-163:16 (2019)A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes., , , , , , , , , and 2 other author(s). EMBC, page 2119-2122. IEEE, (2015)Automatic identification of variables in epidemiological datasets using logic regression., , , , , , , , , and 82 other author(s). BMC Medical Informatics Decis. Mak., 17 (1): 40:1-40:11 (2017)The geo-social relevance ranking: A method based on geographic information and social media data., , , and . AICCSA, page 1-8. IEEE Computer Society, (2016)