Article

Clinical interpretation of machine learning models for prediction of diabetic complications using electronic health records

2022-03-13

Abstract excerpt

Type 2 diabetes is a massive public health issue that continues to grow. The rate of diabetic complication progression varies across individuals. Understanding factors that alter the rate of complication onset may uncover new clinical interventions and help prioritize individuals for more aggressive management. Here, we explore how various machine learning models and types of electronic health records can predict...

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Literature Corpus work: 51ccad87-078a-5a0b-9739-81cffdc29892
DOI: 10.1101/2022.03.11.22272039

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