A personalized computational model predicts cancer risk level of oral potentially malignant disorders and its web application for promotion of non-invasive screening.
Xiangjian WangJin YangChanglei WeiGang ZhouLanyan WuQinghong GaoXin HeJiahong ShiYingying MeiYing LiuXueke ShiFanglong WuJingjing LuoYiqing GuoQizhi ZhouJiaxin YinTao HuMei LinZhi LiangHongmei ZhouPublished in: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology (2020)
We have proposed a novel machine-learning model for precise and cost-effective OPMDs screening, which integrates clinical examinations, machine learning, and information technology.