2025/08/22 by Viral N. Shah, Halis Kaan Aktürk · 1 voice
Computer Science · Medicine · #Diabetes Treatment and Management #Hyperglycemia and glycemic control in critically ill and hospitalized patients #Machine Learning in Healthcare
paper · doi:10.2337/9781580408479
openalex publication_date 2025/08/22 · openalex created_date 2025/12/03 · openalex updated_date 2026/06/11
The fast-paced nature of clinical practice often demands rapid assessments and treatment decisions. Clinical Decision Algorithms in Diabetes is intended to address clinicians’ need for complex diabetes information that is accessible, actionable, and applicable. Emphasis is placed on clarity, applicability, and clinical relevance, making this reference an essential tool for primary care physicians, endocrinologists, students, and other healthcare professionals involved in caring for people with diabetes. From initial diagnosis and classification to pharmacologic therapy, complications, technology, and prevention, each algorithm is developed using the most up-to-date clinical evidence and meets the ADA’s 2025 Standards of Care in Diabetes. Purchase individual electronic chapters via the "View Chapter" buttons below or buy a print edition now: