Machine learning techniques to predict the risk of developing diabetic nephropathy: a literature review

ConclusionOur analysis showed that some studies ignored the temporal factor, while others partially exploited it. Greater use of the temporal aspect inherent in Electronic Health Records (EHR) data, together with the integration of omics data, could lead to the development of more reliable and powerful predictive models.
Source: Journal of Diabetes and Metabolic Disorders - Category: Endocrinology Source Type: research