Machine Learning for Prediction of Stable Warfarin Dose in US Latinos and Latin Americans

• Main Authors: Heidi E. Steiner (Author), Jason B. Giles (Author), Hayley Knight Patterson (Author), Jianglin Feng (Author), Nihal El Rouby (Author), Karla Claudio (Author), Leiliane Rodrigues Marcatto (Author), Leticia Camargo Tavares (Author), Jubby Marcela Galvez (Author), Carlos-Alberto Ca (Author), Xiaoxiao Sun (Author), Mara H. Hutz (Author), Stuart A. Scott (Author), Larisa H. Cavallari (Author), Dora Janeth Fonseca-Mendoza (Author), Jorge Duconge (Author), Mariana Rodrigues Botton (Author), Paulo Caleb Junior Lima Santos (Author), Jason H. Karnes (Author)
• Format: Book
• Published: Frontiers Media S.A., 2021-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Populations used to create warfarin dose prediction algorithms largely lacked participants reporting Hispanic or Latino ethnicity. While previous research suggests nonlinear modeling improves warfarin dose prediction, this research has mainly focused on populations with primarily European ancestry....