GAN-Augmented Naïve Bayes for identifying high-risk coronary artery disease patients using CT angiography data. [PDF]
Sci RepZhang L, Haldorai A, Naik N.
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Classification of short-term flood events using stochastic variable selection and Gaussian Naïve Bayes classifier: A case study of Sirajganj district, Bangladesh. [PDF]
HeliyonMondal C, Uddin MJ.
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Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms. [PDF]
PLOS Digit HealthWang JD.
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Assessment of the organizational factors in incident management practices in healthcare: A tree augmented Naive Bayes model. [PDF]
PLoS OneAlbreiki S +3 more
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Predicting students' academic progress and related attributes in first-year medical students: an analysis with artificial neural networks and Naïve Bayes. [PDF]
BMC Med EducMonteverde-Suárez D +6 more
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Comparison of Support Vector Machine, Naïve Bayes and Logistic Regression for Assessing the Necessity for Coronary Angiography. [PDF]
Int J Environ Res Public Health, 2020 Golpour P +8 more
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Radiomics and Clinical Characters Based Gaussian Naive Bayes (GNB) Model for Preoperative Differentiation of Pulmonary Pure Invasive Mucinous Adenocarcinoma From Mixed Mucinous Adenocarcinoma. [PDF]
Technol Cancer Res TreatZhang J, Hao L, Xu Q, Gao F.
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