PDF《一、 个人基本情况：》

s disease. IEEE Access, 2017. (通讯) 10) A new machine-learning method to prognosticate paraquat poisoned patients by combining coagulation, liver, and kidney indices. PLOS ONE, 2017. 12(10): p. e0186427. (通讯) 11) An intelligent prognostic system for analyzing patients with paraquat poisoning using arterial blood gas indexes, Journal of Pharmacological and Toxicological Methods, 2017, 84:78-85(通讯). 12) An Effective Machine Learning Approach for Prognosis of Paraquat Poisoning Patients Using Blood Routine Indexes, Basic and Clinical Pharmacology and Toxicology, 2017, 120(1): 86-96(一作). 13) An effective computational model for bankruptcy prediction using kernel extreme learning machine approach, Computational Economics, 2017, 49(2), 325-341(通讯). 14) An Improved Grey Wolf Optimization Strategy Enhanced SVM and Its Application in Predicting the Second Major, Mathematical Problems in Engineering, vol. 2017, Article ID 9316713,

12 pages, 2017. doi:10.1155/2017/9316713(通讯). 15) An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis, Computational and Mathematical Methods in Medicine, vol. 2017, Article ID 9512741,

15 pages, 2017. doi:10.1155/2017/9512741(通讯). 16) Evolving support vector machines using fruit fly optimization for medical data classification, Knowledge-Based Systems, 2016, 96:61-75(通讯). 17) An Efficient and Effective Automatic Recognition System for Online Recognition of Foreign Fibers in Cotton, IEEE ACCESS, 2016, 4: 8465-8475(通讯). 18) An Efficient Hybrid Kernel Extreme Learning Machine Approach for Early Diagnosis of Parkinson'

s Disease, Neurocomputing, 2016, 184:131-144(一作). 19) Using Blood Indexes to Predict Overweight Statuses: An Extreme Learning Machine-Based Approach, Plos One, 2015, 10(11) (一作). 20) A Fast Approach for Detection of Erythemato-Squamous Diseases Based on Extreme Learning Machine with Maximum Relevance Minimum Redundancy Feature Selection, International Journal of Systems Science, 2015, 46(5): 919-931(通讯). 21) An Efficient Machine Learning Approach for Diagnosis of Paraquat-Poisoned Patients, Computers in Biology and Medicine, 2015, 59: 116-124(通讯). 22) Identification of heavy metal-contaminated Tegillarca granosa using infrared spectroscopy, Analytical Methods, 2015, 7(5):2172-2181(通讯). 23) Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy, Applied Mathematics and Computation, 2014, 239:180-197(一作). 24) Adaptive computational chemotaxis based on field in bacterial foraging optimization, Soft Computing, 2014, 18(4): 797-807(通讯). 25) An efficient diagnosis system for detection of Parkinson'

s disease using fuzzy k-nearest neighbor approach, Expert Systems with Applications, 2013, 40(1), 263-271(一作兼通讯). 26) Effective detection of Parkinson'

s disease using an adaptive fuzzy k-nearest neighbor approach, Biomedical Signal Processing and Control, 2013, 8(4):364-373(通讯). 27) A novel framework based on ACO and PSO for RNA secondary structure prediction, Mathematical Problems in Engineering,

796304 , 2013(通讯). 28) A three-stage expert system based on support vector machines for thyroid disease diagnosis, Journal of Medical Systems, 2012, 36(3):1953-1963(一作). 29) Support vector machine based diagnostic system for breast cancer using swarm intelligence, Journal of Medical Systems, 2012, 36(4):2505-2519(一作). 30) A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method, Knowledge-Based Systems, 2011, 24(8):1348-1359(一作). 31) A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis, Expert Systems with Applications, 2011, 38(9):11796-11803(一作). 32) A support vector machine classifier with rough set based feature selection for breast cancer diagnosis, Expert Systems with Applications, 2011, 38(7):9014-9022(一作). 2. 主持和参与的科研/教学项目 1) 面向医学诊断的智能决策新方法研究, 国家青年自然科学基金项 目(61303113,2014.01-2016.12,主持) 2) 基于大规模医学数据的智能疾病诊断方法研究, 浙江省自然基金面 上项目, (Y17F020061,2017.01-2019.12,主持) 3) 大数据驱动的肺部感染性疾病预测预警关键技术研究, 温州市重大 科技专项(ZG2017019,2017.01-2019.12,主持) 4) 面向医学诊断决策问题的机器学习方法研究, 教育........