An efficient machine learning approach for diagnosis of paraquat-poisoned patients. - Lufeng Hu; Guangliang Hong; Jianshe Ma; Xianqin Wang; Huiling Chen 001 (Comput. Biol. Medicine, 2015)

Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses. - Mingjing Wang; Huiling Chen 001; Bo Yang 002; Xuehua Zhao; Lufeng Hu; Zhen-Nao Cai; Hui Huang 009; Changfei Tong (Neurocomputing, 2017)

Using Biochemical Indexes to Prognose Paraquat-Poisoned Patients: An Extreme Learning Machine-Based Approach. - Lufeng Hu; Panxin Yang; Xianqin Wang; Feiyan Lin; Huiling Chen 001; Hongcui Cao; Haiying Li (IEEE Access, 2019)

Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients. - Xuehua Zhao; Xiang Zhang; Zhennao Cai; Xin Tian; Xianqin Wang; Ying Huang; Huiling Chen 001; Lufeng Hu (Comput. Biol. Chem., 2019)

Binary particle swarm optimisation and the extreme learning machine for diagnosing paraquat-poisoned patients. - Xuehua Zhao; Xin Tian; Zhen Li; Xu Tan; Qian Zhang 049; Huiling Chen 001; Lufeng Hu; Shuangyin Liu (Int. J. Autom. Control., 2021)