A comparative analysis of classical and machine learning methods for forecasting TB/HIV co-infection
对预测结核病/艾滋病合并感染的经典方法和机器学习方法进行比较分析
期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-69580-4
Abade, André; Porto, Lucas Faria; Scholze, Alessandro Rolim; Kuntath, Daniely; Barros, Nathan da Silva; Berra, Thaís Zamboni; Ramos, Antonio Carlos Vieira; Arcêncio, Ricardo Alexandre; Alves, Josilene Dália
