Tom White, Viknesh Selvarajah, Fredrik Wolfhagen-Sand, Nils Svangård, Gayathri Mohankumar, Peter Fenici, Kathryn Rough, Nelson Onyango, Kendall Lyons, Christina Mack, Videlis Nduba, Mansoor Noorali Saleh, Innocent Abayo, Afrah Siddiqui, Malgorzata Majdanska-Strzalka, Katarzyna Kaszubska, Tove Hegelund-Myrback, Russell Esterline, Antonio Manzur, Victoria E R Parker
AIM: Hypertension and diabetes mellitus (DM) are major causes of morbidity and mortality, with growing burdens in low-income countries where they are underdiagnosed and undertreated. Advances in machine learning may provide opportunities to enhance diagnostics in settings with limited medical infrastructure. MATERIALS AND METHODS: A non-interventional study was conducted to develop and validate a machine learning algorithm to estimate cardiovascular clinical and laboratory parameters...
April 15, 2024: Diabetes, Obesity & Metabolism