A machine learning-based algorithm to identify U-500R insulin candidates among adults with type 2 diabetes mellitus in US retrospective databases
CONCLUSION: This study successfully developed and validated a machine learning-based algorithm to identify U-500R candidates among patients with T2DM. This may help health care providers and decision-makers to understand important characteristics of patients who could use U-500R therapies which in turn could support policies and guidelines for optimal patient management.PMID:38259227 | DOI:10.1080/03007995.2023.2293116
Source: Current Medical Research and Opinion - Category: Research Authors: Raja H Patel Ludi Fan Neal R Kelly Felicia Gelsey Jeffrey K Hertzberg Alan James Michael Brnabic Source Type: research