Low-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal
利用调查数据识别口腔健康状况不佳的儿童和青少年的低成本、可扩展的机器学习模型：葡萄牙的一项实证研究
期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0312075
Lavado, Susana; Costa, Eduardo; Sturm, Niclas F; Tafferner, Johannes S; Rodrigues, Octávio; Pita Barros, Pedro; Zejnilovic, Leid
