Developing a new intelligent system for the diagnosis of tuberculous pleural effusion. - Chengye Li; Lingxian Hou; Bishundat Yanesh Sharma; Huaizhong Li; Chengshui Chen; Yuping Li; Xuehua Zhao; Hui Huang 009; Zhennao Cai; Huiling Chen 001 (Comput. Methods Programs Biomed., 2018)

Tuberculous pleural effusion prediction using ant colony optimizer with grade-based search assisted support vector machine. - Chengye Li; Lingxian Hou; Jingye Pan; Huiling Chen 001; Xueding Cai; Guoxi Liang (Frontiers Neuroinformatics, 2022)

Image segmentation of Intracerebral hemorrhage patients based on enhanced hunger Games search Optimizer. - Lingxian Hou; Ruohe Li; Majdi M. Mafarja; Ali Asghar Heidari; Liping Liu; Congcong Jin; Shanshan Zhou; Huiling Chen 001; Zhennao Cai; Chengye Li (Biomed. Signal Process. Control., 2023)

A novel machine learning model for efficacy prediction of immunotherapy-chemotherapy in NSCLC based on CT radiomics. - Chengye Li; Zhifeng Zhou; Lingxian Hou; Keli Hu; Zongda Wu; Yupeng Xie; Jinsheng Ouyang; Xueding Cai (Comput. Biol. Medicine, 2024)

An enhanced alpha evolution moss growth optimizer for prognostic prediction in spontaneous intracerebral hemorrhage. - Lingxian Hou; Yongsheng Wang; Xiuqi Lin; Chengye Li; Huangrong Guo; Congcong Jin; Yi Chen; Huiling Chen; Jing Ji; Wenzong Zhu (J. Big Data, 2025)

An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion. - Qian Zhang; Dongke Zhao; Lingxian Hou; Ali Asghar Heidari; Yi Chen; Lei Liu; Huiling Chen; Chengye Li (J. Big Data, 2025)