Application of Machine Learning Models to Evaluate Hypoglycemia Risk in Type  2 Diabetes

ConclusionsMachine learning models built within high-dimensional, real-world data can predict patients at risk of clinical outcomes with a high degree of accuracy, while uncovering important factors associated with outcomes that can guide clinical practice. Targeted interventions towards these patients may help reduce hypoglycemia risk and thereby favorably impact associated economic outcomes relevant to key stakeholders.
Source: Diabetes Therapy - Category: Endocrinology Source Type: research