TY - JOUR AU - Ma, Xia AU - Wu, Yanping AU - Zhang, Ling AU - Yuan, Weilan AU - Yan, Li AU - Fan, Sha AU - Lian, Yunzhi AU - Zhu, Xia AU - Gao, Junhui AU - Zhao, Jiangman AU - Zhang, Ping AU - Tang, Hui AU - Jia, Weihua PY - 2020 DA - 2020/03/31 TI - Comparison and development of machine learning tools for the prediction of chronic obstructive pulmonary disease in the Chinese population JO - Journal of Translational Medicine SP - 146 VL - 18 IS - 1 AB - Chronic obstructive pulmonary disease (COPD) is a major public health problem and cause of mortality worldwide. However, COPD in the early stage is usually not recognized and diagnosed. It is necessary to establish a risk model to predict COPD development. SN - 1479-5876 UR - https://doi.org/10.1186/s12967-020-02312-0 DO - 10.1186/s12967-020-02312-0 ID - Ma2020 ER -