Article

Identifying Latent Variables in Dynamic Bayesian Networks with Bootstrapping Applied to Type 2 Diabetes Complication Prediction

2020-09-18

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<title>Abstract</title> <p>Background: Type 2 Diabetes is a chronic disease with an onset that is commonly associated with multiple life-threatening co morbidities (complications). Early prediction of diabetic complications while discovering the behaviour of associated aggressive risk factors can reduce the patients’ suffering time. Therefore, models of the time series diabetic data (which are often imbalanced, i...

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Literature Corpus work: 2fb390a2-c1d6-5183-8952-626bdef2d469
DOI: 10.21203/rs.2.24145/v2

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