BIBM Workshops最新文献

Structural analysis of heme proteins: Implication for design and prediction 血红素蛋白的结构分析:对设计和预测的启示

BIBM Workshops Pub Date : 2010-12-01 DOI: 10.1109/BIBMW.2010.5703932

Ting Li, H. Bonkovsky, Jun-tao Guo

引用次数: 5

Cellular Neural Networks, Navier-Stokes equation and microarray image reconstruction 细胞神经网络，Navier-Stokes方程和微阵列图像重建

BIBM Workshops Pub Date : 2010-12-01 DOI: 10.1109/BIBMW.2010.5703805

B. Zineddin, Zidong Wang, Xiaohui Liu

引用次数: 1

Construction of semantic analysis system for Traditional Chinese Medicine unstructured medical records 中医非结构化病案语义分析系统的构建

BIBM Workshops Pub Date : 1900-01-01 DOI: 10.1109/BIBMW.2011.6112479

Heng Weng, Chuanliang Yi, Yingzi Lin, Y. Zeng, Yang Li, S. Wu, Dacan Chen, Hao Fu

引用次数: 1

Study about the feature of some parts of the Traditional Chinese Medicine(TCM) physical examination correlate with the indexes of the renal function 中医体检部分部位与肾功能指标相关特征的研究

BIBM Workshops Pub Date : 1900-01-01 DOI: 10.1109/BIBMW.2010.5703898

Guangqin Hu, Xiao-zuo Lu, Bing-hua Zhou, Yufu Luo, Yang-dong Lu, Min Zhu, Xiaoming Liu

引用次数: 0

Identification and analysis of gene clusters in biological data 生物资料中基因簇的鉴定与分析

BIBM Workshops Pub Date : 1900-01-01 DOI: 10.1109/BIBMW.2012.6470199

L. Mesa, Fernando Niño, L. Kleine

引用次数: 1

Signals analysis of pulse-diagnosis in TCM by the combination of unsupervised learning and supervised learning 无监督学习与监督学习相结合的中医脉诊信号分析

BIBM Workshops Pub Date : 1900-01-01 DOI: 10.1109/BIBMW.2012.6470319

Nanyue Wang, Dawei Huang, Yanping Chen, Youhua Yu, Zengyu Shan, L. Xue, Bohua Jiang, Tongda Li, Yan Chen, Ying Huang

{"title":"Signals analysis of pulse-diagnosis in TCM by the combination of unsupervised learning and supervised learning","authors":"Nanyue Wang, Dawei Huang, Yanping Chen, Youhua Yu, Zengyu Shan, L. Xue, Bohua Jiang, Tongda Li, Yan Chen, Ying Huang","doi":"10.1109/BIBMW.2012.6470319","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470319","url":null,"abstract":"Objective: To build a viable method to analyze the Pulse-diagnosis signals by the combination of unsupervised learning and supervised learning. Methods: After collecting the pulse waves of patients with chronic obstructive pulmonary disease (COPD) and healthy volunteers, we do pretreatment, parameter extracting basing on harmonic fitting, modeling, and identification by unsupervised learning Principal Component Analysis (PCA) and supervised learning Least-squares Regression (LS) and Least Absolute Shrinkage and Selection Operator (Lasso) with cross-validation step by step for analysis. Result: There is significant difference between COPD patients' pulse waves and the healthy volunteers, and the identification accuracy is about 80%. Features at 3 specific places in radial artery called \"youcun\" \"youguan\" \"zuochi\" in pulse-diagnosis of Traditional Chinese Medicine (TCM) we exacted from the 193 parameters by the 3 methods are especially significant compare with others, and C2youguan is the common one. Conclusion: The method we built basing on the combination of unsupervised learning PCA and supervised learning LS and Lasso is feasible in analyzing the Pulse-diagnosis signals. Furthermore, according to the result of cross-reference by 3 methods and the equation established by Lasso, we can achieve a reliable result by signals of pulse-diagnosis in TCM to identify the healthy volunteers and the patients with COPD. This study might offer some confidence for the realization of computer-aided diagnosis by pulse-diagnosis in TCM, and some important evidence for the scientific of pulse-diagnosis in TCM clinical diagnosis.","PeriodicalId":158587,"journal":{"name":"BIBM Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116777888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Metabonomics studies on urine specimens from patients with chronic renal failure 慢性肾衰竭患者尿液标本的代谢组学研究

BIBM Workshops Pub Date : 1900-01-01 DOI: 10.1109/BIBMW.2010.5703906

P. Qian, G. Bai, Jie Zhao, Yiqin Wang

{"title":"Metabonomics studies on urine specimens from patients with chronic renal failure","authors":"P. Qian, G. Bai, Jie Zhao, Yiqin Wang","doi":"10.1109/BIBMW.2010.5703906","DOIUrl":"https://doi.org/10.1109/BIBMW.2010.5703906","url":null,"abstract":"We performed metabolism studies on the urine specimens using gas chromatography-mass spectrometry (GC-MS) technology. Through comparing samples from patients with chronic renal failure and healthy control people, we evaluated the correlation of metabolic changes in urine with syndromes in Traditional Chinese Medicine (TCM) for patients with chronic renal failure. Methods ifty-four urine specimens from chronic renal failure patients and 25 urine specimens from healthy people were collected. After the specimens had silylation derivatization reaction with capric acid as the interior label and measured with GC-MS method, the spectrum was plotted.(1) After silylation derivatization reaction and GC-MS analysis, in the specimens from chronic renal failure and healthy control, 8 peaks were identified to be statistically different by 2-tailed 2-sample t-test (P<0.05). Based on the NIST spectral library, Mainlib database and Wiley database. There was a significant difference between the chronic renal failure group and healthy group. The identification results of the metabolic products were the same as those of hierarchical cluster analysis and principal component analysis.","PeriodicalId":158587,"journal":{"name":"BIBM Workshops","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127977986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2