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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 Zhou
Published 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.
Keyphrases
  • machine learning
  • deep learning
  • healthcare
  • health information
  • social media