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Technical Program
研讨会程序手册
The International Workshop on Information Technology for
Chinese Medicine (ITCM2010)
2010 国际中医信息学研讨会
In Conjunction with IEEE-BIBM2010
(与 IEEE-BIBM2010 共同举行)
December 18, 2010, Hong Kong, China
Tongji University Shanghai University of Traditional Chinese Medicine
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Catalog
Message from the Program Chairs ............................................. 1
ITCM 2010 Organization ............................................................. 2
The Compendiary Hong Kong Map ............................................. 3
会程安排表 ................................................................................ 4
Schedule Overview ..................................................................... 6
Keynote Speech .......................................................................... 7
Invited Talk ................................................................................ 11
Arrangement of Oral Presentations .......................................... 16
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Message from the Program Chairs
Welcome to The 2010 International Workshop on Information Technology for
Chinese Medicine being held in Hong Kong, China on December 18, 2010. Traditional Chinese Medicine has met a great opportunity with the development of China, where information technology becomes a critical technology to produce great achievements in designing information systems to mine the ancient and present literatures and clinical data, as well as to make objectivity of traditional diagnostics and formula. The ITCM2010 is aimed at providing a common platform to bridge these very important interdisciplinary areas into an interactive forum, and bringing together top researchers, practitioners and students from around the world in order to promote scientific understanding and findings in information technologies and Chinese Medicine. It is sponsored by BIBM2010, Tongji University, and Shanghai University of Traditional Chinese Medicine, China.
The program committee consists of 26 committee members around the world. All submitted papers have been peer-reviewed by the program committee members or invited external reviewers. A total of 45 papers have been selected, and registered authors are from 4 countries including Australia, China, South Korea, and USA. The conference features three distinguished keynote speakers.
Many individuals have contributed to the success of this conference. Many thanks go to all the authors, invited speakers and conference organizers with special thanks to The BIBM steering committee Chair Tony Hu, Professors and Presidents Kaixian Chen and Gang Pei from Shanghai University of Traditional Chinese Medicine and Tongji University, whose leadership ensures the success of this conference. Special thanks go to the organizing chair Drs. Mingyu You and Guoping Liu, and local organizing committee consisting of Mrs. Ruiwei Zhao, Jiaming Liu and Rui Xue for their assistance. We wish everybody an enjoyable and fruitful stay in HongKong.
Yiqin Wang, Xiaodong Cheng, Guo-Zheng Li
Program Chairs
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ITCM 2010 Organization
Program Committee Chair:
Dr. Yiqin Wang, Shanghai University of Chinese Medicine, China
Dr. Xiaodong Chen, Tongji University, China
Dr. Guo-Zheng Li, Tongji University, China
Organizing Chair:
Dr. Mingyu You, Tongji University, China
Dr. Guoping Liu, Shanghai University of Chinese Medicine, China
Program Committee Members:
Li-Jun Bai, Institute of Automation, Chinese Academy of Sciences
Zhi-Wei Cao, Tongji University
Jian-Xin Chen, Institute of Automation, Chinese Academy of Sciences
Su-Shing Chen, University of Florida
Quan-Quan Gao, Institute of Mathematics, Chinese Academy of Sciences
Zhi-Jin Guan, Nanjing University of Aeronautics and Astronautics
Li-Yun He, China Academy of Traditional Chinese Medical Sciences
Fu-Feng Li, Shanghai University of Traditional Chinese Medicine
Kun Li, China Academy of Traditional Chinese Medical Sciences
Shao Li, Tsinghua University
Shao-Zi Li, Xiamen University
Xiao-Qiang Li, Shanghai University
Jian-Feng Lu, Nanjing University of Science and Technology
Li-Zhuang Ma, Shanghai University of Traditional Chinese Medicine
Kai-Tao Meng, Northwest University
Josiah Poon, The University of Sydney
Kun-Bao Tsai, Chongqing University
Zhao-Xia Xu, Shanghai University of Traditional Chinese Medicine
Hai-Xia Yan, Shanghai University of Traditional Chinese Medicine
Jian-Jun Yan, East China University of Science and Technology
Xue-Qiang Zeng, Nanchang University
Lei Zhang, The Hong Kong Polytechnic University
Lian-Wen Zhang, Hong Kong University of Science and Technology
Chang-Le Zhou, Xiamen University
Xue-Zhong Zhou, Beijing Jiaotong University
Xiao-Shu Zhu, University of Western Sydney
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The Compendiary Hong Kong Map
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会程安排表
时间
日期
上午 下午 晚上
12 月
17 日
注册
(3:30 pm - 7:30 pm)
地点:大厅,香港凱悅酒店-沙田
12 月
18 日
开幕式
(8:00 am – 8:30 am)
地点:LT1
主持人:王忆勤
欢迎辞:Tony Hu
大会报告
主持人:王忆勤
报告人:刘保延
(8:30 am – 9:15 am)
报告人:David Zhang
(9:15 am – 10:00 am)
茶歇&集体照
(10:00 am – 10:25 am)
主持人:李国正
报告人:王忆勤
(10:25 am – 11:10 am)
口头报告:PM-A
临床数据挖掘
(1:30 pm – 3:00 pm)
地点:LT1
SB250 SB240, SB207, SB219,
B521, SB215
茶歇
(3:00 pm – 3:20 pm)
口头报告:PM-B
中医诊断客观化
(3:20 pm – 5:50 pm)
地点:LT1
SB237, SB217, SB222,
SB220, SB233
SB245, SB235, SB221,
SB247, SB223
晚宴
(6:00 pm - 8:00pm)
地点:香港科技园-喜
庆酒家
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邀请讲座
(11:10 am – 12:30 am)
报告人:陈家旭
报告人:陆小左
报告人:Nevin Zhang
报告人:Simon Poon
午餐
地点:TBA
(12:30 am – 1:30 pm)
12 月
19-21 日
BIBM 大会&离开
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Schedule Overview
Time
Date
Morning Afternoon Evening
Dec. 17 Registration
(15:30 pm - 19:30 pm)
Location: Lobby in Hyatt Regency Hong Kong, Shatin
Dec. 18 Opening Ceremony
(8:00 am – 8:30 am)
Location: LT1
Chair: Yiqin Wang
Welcome Message
Tony Hu
Keynote Speech
Chair: Yiqin Wang
Speaker: Baoyan Liu
(8:30 am – 9:15 am)
Speaker: David Zhang
(9:15 am – 10:00 am)
Coffee Break &Take Photo
(10:00 am – 10:25 am)
Chair: Guo-Zheng Li
Speaker: Yiqin Wang
(10:25 am – 11:00 am)
Invited Talk
(11:10 am – 12:30 am)
Speaker: Jiaxu Chen
Speaker: Xiaozuo Lu
Speaker:Nevin Zhang
Speaker:Simon Poon
Lunch
Location: TBA
(12:30 am – 1:30 pm)
Oral Presentation: PM-A
Clinical Data Mining
Chair: Mingyu You
(1:30 pm – 3:00 pm)
Location: LT1
SB250 SB240, SB207, SB219,
B521, SB215
Coffee Break
(3:00 pm – 3:20 pm)
Oral Presentation: PM-B
Objective TCM Diagnosis
Chair: Guo-Ping Liu
(3:20 pm – 5:50 pm)
Location: LT1
SB237, SB217, SB222,
SB220, SB233
SB245, SB235, SB221,
SB247, SB223
Banquet
(6:00 pm - 8:00pm)
Location: the Science
park " Happiness
Cuisine"
Dec.
19-21
BIBM Conference & Departure
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Keynote Speech
Title: The thinking for TCM clinical data resources and knowledge
management center construction in the new period
Abstract: In various medical institutions information system, electronic medical records
systems of digital information technology platform, and improved the patient as the core of
the clinical scientific research information will continually produce. Establish a national level
and regional levels of clinical data center has become urgent hospital information
development. Determine clinical data center of orientation, explore the clinical data center of
constructing model, content, research data using tools, forming data sharing mechanism to
wait to also become the TCM clinical scientific research information integration development
the important task. This report will from the above puts forward thinking and the frame, hope
to get everybody's guidance.
Prof. Liu BaoYan, chief physician, doctoral
tutor. vice-president of China academy of
Chinese Medical Sciences , Deputy director of
Clinical epidemiology committee of Chinese
medical association; Director of the state
administration of traditional Chinese medicine of
TCM clinical evaluation method of key research
laboratory, the world health organization
traditional medical adviser, Deputy director of standardized professional committee of China's
health information association, Director of The national acupuncture and moxibustion
standardization technical committee; Vice chairman of The world federation of acupuncture
society, Chairman of clinical evaluation professional committee of world federation of
traditional Chinese medicine association. In recent years, is devoted to digital information
technology applied to traditional Chinese medicine research field and clinical evaluation
method of the research work, successively presided conducted more than 10 item relevant
national science and technology projects. Obtained the national science and technology
progress prize 2 items. Published more than 100 papers articles. Form the software copyrights
eight. Chinese medicine clinical scientific research information sharing system won national
technological progress in 2009.
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Title: Medical Biometrics-Computerized TCM Diagnosis
Abstract: The Traditional Chinese Medicine (TCM) diagnosis methods, such as
looking/smelling/touching, have been successfully used for thousands of years. However,
these methods are mainly relied on Doctor's experience and not quantified. In this
presentation, we will try to develop a novel approach by using Medical Biometrics
technology, i.e., Computerized TCM Diagnosis, to solve these problems. By some
TCM-orient diagnosis acquisition devices, we could collect many kinds of date like
tongue/pulse/odor with a priori knowledge from different diseases in hospitals. Then we use a
statistical pattern recognition approach to extract all possible features from these
images/waveforms, including color, texture, shape, and so on. After matching between our
training data and testing data, some decision rules will be made. Finally, we apply our results
to the practical diseases diagnosis to illustrate the effectiveness of our approach.
Prof. David Zhang graduated in Computer Science from
Peking University. He received his MSc in Computer Science in
1982 and his PhD in 1985 from the Harbin Institute of
Technology (HIT). From 1986 to 1988 he was a Postdoctoral
Fellow at Tsinghua University and then an Associate Professor at
the Academia Sinica, Beijing. In 1994 he received his second
PhD in Electrical and Computer Engineering from the University
of Waterloo, Ontario, Canada. Currently, he is a Chair Professor
at the Hong Kong Polytechnic University where he is the Founding Director of the Biometrics
Technology Centre (UGC/CRC) supported by the Hong Kong SAR Government in 1998. He
also serves as Visiting Chair Professor in Tsinghua University, and Adjunct Professor in
Peking University, Shanghai Jiao Tong University, HIT, and the University of Waterloo. He
is the Founder and Editor-in-Chief, International Journal of Image and Graphics (IJIG); Book
Editor, Springer International Series on Biometrics (KISB); Organizer, the International
Conference on Biometrics Authentication (ICBA); Associate Editor of more than ten
international journals including IEEE Transactions and Pattern Recognition; and the author of
more than 10 books and 200 journal papers. Professor Zhang is a Croucher Senior Research
Fellow, Distinguished Speaker of the IEEE Computer Society, and a Fellow of both IEEE and
IAPR.
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Title: Progress and Prospect of Objectivity Study on Four Diagnostic
Methods in Traditional Chinese Medicine
Abstract: Traditional diagnosis in TCM implements syndrome differentiation based on
visual observation and experience of doctor where diagnosis accuracy is impacted due to
restriction in preference and experience accumulation of doctor and current environmental
factors and lack of objective indexes, difficult for repeated demonstration. Therefore,
objective and digital four-diagnosis and regular differentiation are urgently required in
development of TCM..
With development of science and technology, study on objective four-diagnosis
information acquisition and analysis system is increasingly perfected. (1)The current research
on inspection mainly focuses on complexion diagnosis and Tongue diagnosis. The system has
set up the standard environment suitable for tongue and face image collection with the
guidance of TCM theory and clinic practice and on the basis of multi-discipline technological
application such as machine vision and back light module etc. (2) A pulse digitization
analyzer on basis of more than 20 years of research results on pulse-tracings has been
developed, and established the standard collection method of TCM pulse-tracings and
information processing method and classification and interpretation criterion of pulse-tracings.
We also underwent TCM clinical application research. (3) We have developed the inquiry
collection system on the diagnosis of heart in TCM and generally realized the standard of
inquiry collection system on the diagnosis of heart in TCM as well as the completion and
standardization of inquiry history records. We have made the research by adopting the
method of implicit structure. (4) Currently, we have formulated the sound diagnosis
identification form, set up sound diagnosis collection hardware platform and developed the
collection software. We have made the research on sound diagnosis with the linear and
non-linear method and five- viscera corresponding principles, and we are designing the
analysis design; besides, partial analysis parameter of software has been used for initial
analysis. (5) Multivariate statistical analysis method is the effective tool commonly used in
information fusion technology. The topic-based group has applied single-output network
(OCON) and multi-output network (ACON) to make the information fusion research of four
diagnostic methods.
In short, we have taken the solid step forward towards the objectification research of TCM
four diagnostic methods, however, there are still a lot of difficult issues for us to overcome
and solve. For instance, the intelligent image processing calculation method shall be adopted
for improving the tongue and face diagnosis software system, and improving the recognition
accuracy rate and efficiency in diagnosis; besides, we have used the new methods such as
unstable HHT, independent factor analysis and supporting vector machine etc. to extract the
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characteristics of biological information so as to acquire more effective trait indexes and
improve the accuracy rate of clinical diagnosis on the basis of original signal processing
method (the analysis method such as time-domain and frequency domain). Furthermore, the
comprehensive intelligent massive database on information from TCM four diagnosis has
been set up, and convergence and correlation analysis have been made on information from
TCM four diagnosis etc.
Prof. Yiqin Wang female, is a professor and postgraduate
tutor of Shanghai University of TCM. Besides, she is the
director of Specialty Committee of Diagnostics, Shanghai
Association of Chinese Integrative Medicine as well as the
deputy director of Specialty Committee of TCM Diagnostics,
China Association of Chinese Medicine. Also, she is the
leader of Shanghai 3rd Leading Academic Discipline Project,
Diagnostics of TCM as Key Subject approved by State
Administration of Traditional Chinese Medicine of the People’s Republic of China and
Diagnostics of TCM as a featured course. In aspects of researches and papers, Prof. Wang
holds over 20 projects of National Natural Science Foundation of China, National Project 973,
Key Projects in the National Science & Technology Pillar Program during the Eleventh
Five-Year Plan Period. She has been rewarded the National Prize for Progress in Science
and Technology for 3 times. She has had 7 patents for invention and utility model. Over
200 academic papers have been published, including 4 SCI cited papers and 9 EI cited papers.
As a chief editor, over 10 national programmed textbooks have been published.
11
Invited Talk Title: Application of Random Forest Data Mining Method to the Feature
Selection for Female Sub-health State
Abstract: BACKGROUND: Sub-health state is a low-quality status between health and
disease. The aim of this study was to determine which factors and/or combination of factors
could be predictive of sub-health state in female as using random forest method.
METHODS: Data were collected through a clinical epidemiology survey and obtained 2992
cases (2507 cases were in sub-health state and 485 cases were in health), in which the female
sub-health state cases were 1285 and the female health state cases were 177, respectively.
Based on association declined by mutual information, we used a classification technique
called Random Forest to predict the sub-health state in female through the analysis of the
clinical data.
RESULTS: We've obtained the total OOB error rate of 20.06%,namely, the correct
classification rate is 79.94%. In other words, there were 10 variables very powerful to
discriminate between health state and sub-health state in female. They were the symptoms as
follows, Fatigue, Myasthenia of limbs, Amnesia, Dizziness, Dysphoria, Sighing,
Hypochondriac distension and pain, Constipation, Swollen sore throat and Premenstrual
Distension of Breast.
CONCLUSIONS: We suggest data random forest mining method for feature selection in
female sub-health state; the main advantage of this method is to select important features that
retaining a high predictive accuracy.
Professor Chen Jiaxu, MD, PhD, born in 1966, Han
nationality and a native of Hubei province, China, and now is a
professor, PhD instructor, and head of state-level key discipline of
Chinese Medicine Diagnosis in Beijing University of Chinese
Medicine (BUCM). He is one of highly respected practitioners and
teachers in BUCM with many years of professional experience. Dr
Chen has spent virtually his entire career at this prestigious
university, where he has been teaching, researching, and conducting
clinical practice since his graduation in 1988.
Professor Chen is a professional specialist in Chinese Medicine, and a scholar in Diagnosis of
Chinese Medicine. In the recent years, he has been contributing his efforts in research,
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academic papers and essays on the Diagnosis of Chinese Medicine. Dr Chen has achieved
many awards and prizes in recent years: National excellent theses for doctor’s academic
degree award (2001), Teaching and researching program for outstanding young teachers in
higher education institutions of MOE, China (2001), Fok Ying Tong education foundation
award (2002), Award for national outstanding curriculum of diagnostic of TCM course,
honored by MOE, China (2004), Prize for Basic Research, China Association of Chinese
Medicine (2004, 2007, 2008), Prize for Natural Sciences, MOE, China (2007, 2009). Dr Chen
has got grants funding from Hi-Tech Research and Development Program of China, National
Natural Science Foundation of China, Specialized Research Fund for the Doctoral Program of
Higher Education, Project supported by the Scientific Research Starting Foundation for
Returned Overseas Chinese Scholars, China National Funds for Distinguished Young
Scientists. He has also published over 180 papers, and has been invited to many countries,
international conferences and workshops.
13
Title: Study on the Correlation between Tongue Diagnosis of Traditional
Chinese Medical and Assay Result of Health Check
Abstract: As one of diagnostic method of traditional Chinese medical (TCM), tongue
diagnosis (TD) is of great value for application in clinic. Under the guideline of wholistic
concept and differentiation of symptoms and signs, we took young clients as objects of
research. The health state of the young clients was surveyed by two methods, one is TD of
TCM, the other is TD instrument developed by our team which was applied to collect clinical
information, both of them aimed at having a multidimensional study on the health assesment.
This article is not only probe into the correlation between the TD information and conditions
of organs implied by blood routine as well as blood biochemical examination, but also
explore the correlation between the indexes of TD and representation indexed of
physiological functions, pathological changes of the human body.
Prof. LU Xiaozuo received his MS in Medical,
and he is a now Dean of School of Chinese Medical
Engineering and Subject Leader of Diagnostics of
Chinese Medicine, Vice Secretary of Diagnostic
Subcommittee of China Association of Traditional
Chinese Medicine, Committee of Internal Medical
Subcommittee of China Association of Traditional
Chinese Medicine, Chairman of Commission of Clinical
Diagnostic.
His research mainly concerns the four diagnostic of Traditional Chinese Medicine (TCM) and
objective of TCM symptom; He coined the diagnostic devices of TCM and it’s application in
the evaluation of clinical therapeutic effect. He designed questionnaire of TCM’s clinical
therapeutic effect evaluation, and also developed Comprehensive Statistical Analysis System
for Tongue and Pulse Symptom, Tongue and Pulse Objective Neural Networks
Differentiation System for Heart Brain and Vessel Diseases, Quantization of Tongue Image
Instrument , Pulse Instrument, Nail Diagnostic Instrument, Pulse Simulator, Pulse Recorder,
etc. He has authored and co-authored 28 scientific reference and textbooks and over 81 peer
reviewed journal articles and held 13 patents. Prof. LU recorded 5 audiovisual.
14
Title: Latent Structure Models and Diagnosis in Traditional Chinese
Medicine
Abstract: Latent tree (LT) models (previously known as hierarchical latent class models)
are a tool developed in recent years in the Machine Learning community for discovering
latent structures behind observations. We have used LT models to analyze several sets of
unlabeled TCM data obtained through epidemiological surveys. The resultant model matches
relevant TCM theories well. This indicates that latent structure models can help in building an
objective statistical foundation for TCM diagnosis.
Prof. Nevin Zhang is a professor at The Hong
Kong University of Science & Technology (HKUST).
He obtained his first PhD degree in Applied Math from
Beijing Normal University and his second PhD degree
in Computer Science from University of British
Columbia. He started his academic career at HKUST in
1994 and was substantiated in 2000. His general
research interests lie in the field of reasoning and
decision under uncertainty. He co-authored the variable elimination inference algorithm for
Bayesian networks and the incremental pruning algorithm for partially observable Markov
decision processes. Both algorithms are fundamental to their respective areas. Since tenure,
his research activities have focused on latent structure models and statistical foundation for
traditional Chinese medicine. His work totally has been cited more than 1500 times according
to Google Scholar. He served on the editorial board of Journal of Artificial Intelligence
Research (JAIR) from 1999 to 2002 and as an associate editor from 2003 to 2005. He
currently serves on the advisory board of JAIR and as an associate editor of International
Journal of Approximate Reasoning. He has also lent his service conferences such as IJCAI,
AAAI, ICML and UAI.
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Title: Studying Complex Interactions in TCM Clinical Datasets
Abstract: The importance of discovering the interrelatedness of factors has been widely
acknowledged in many research fields. These fields are varied, including areas such as
biological systems, production economics, engineering design and organizational structures.
In the data mining community, researchers have long been interested in investigating whether
interaction patterns exist among multiple factors. The discovery of interactions in data can
provide a way to capture the intuitive ideas of synergetic bundling or system effects, i.e. “the
whole is greater than the sum of the parts.” Exploring data for interaction patterns requires a
way to measure which interaction patterns are the most interesting.
Detecting interesting patterns in data has been a focus of recent work in knowledge discovery.
Understanding the patterns of interaction between attributes is relevant to many fields.
Existing measures of interestingness in data mining do not adequately detect these interaction
patterns. In this talk, we present a new measure that explores the interactions to be found in
data. We combine this interestingness measure with statistical validation to find reliable and
interesting interactions. We will discuss the concepts of interaction in terms of interestingness.
We then demonstrate use of this method to find interesting patterns in TCM clinical datasets.
Prof. Simon K. Poon is a Senior Lecturer at the School of
Information Technologies, The University of Sydney. He received
his BSc (major in Computer Science), PhD in Information Systems
and Master of Public Health from the University of Sydney. He also
holds a Graduate Certification in Mathematical Sciences and a
Master of Engineering Management from the University of
Technology, Sydney. He has presented his work in international
conferences in the areas of information systems and data mining. He
has published in OMEGA, Expert Systems with Applications, Statistical Analysis & Data Mining,
and Electronic Journal of Information Systems Evaluation. His research interests are Information
Technologies (IT) impacts on healthcare, health informatics and patient data analytics. He
currently focuses on developing analytical framework to handle complex interactions in data with
particular application domain in Traditional Chinese Medicine.
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Arrangement of Oral Presentations
PM-A: Clinical Data Mining
Chair: Mingyu You
1:30 pm – 3:00 pm, Dec. 18, 2010, LT1
SB240 Study on the Principle of Treatment, Medicine and Formula of Chinese Medicine in
Congestive Heart Failure Based on Literature Review and Data Mining Technology
Ruijing Luo and Jiancheng He
SB202 Goal Based Bisimulation for Testing Therapies in Traditional Chinese Medicine
Guang Zheng, Xiaojuan He, Miao Jiang, and Aiping Lu
SB219 Consulting Study of Experts’ Opinions on Lung System Disease Location Characteristics
Zheng Xu
SB250 Association Analysis and Distribution of Chronic Gastritis Syndromes Based on Associated
Density
Guo-Ping Liu, Yi-Qin Wang, Fu-Feng Li, Hai-Xia Yan, Jing-Jing Fu, Jie Zhao,
Rui-Wen Zhen, Shi-Xing Yan, and Guo-Zheng Li
SB207 Gene Selection by Using an Improved Fast Correlation-Based Filter
Xue-Qiang Zeng, Guo-Zheng Li, and Su-Fen Chen
B521 Extracting Clinical Information from Free-text of Pathology and Operation Notes via
Chinese Natural Language Processing
Qiang Zeng, Zuofeng Li, Weide Zhang, Xiaoyan Zhang, and Lei Liu
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PM-B: Objective TCM Diagnosis
Chair: Guo-Ping LIU
3:20 pm – 5:50 pm, Dec. 18, 2010, Room LT1
SB237 Strategies to Enhance Computer Assisted Differential Diagnosis in Traditional Chinese
Medicine for Coronary Heart Disease: Validity and Standardisation of a Diagnostic
Instrument
Laura Duck, Xiaoshu Zhu, Stefania Penkala, and Anthony Maeder
SB217 Application of PCA and LDA methods on gloss recognition research in TCM complexion
inspection
Rui Zhou, Rui-Wei Zhao, Fufeng Li, Guo-Zheng Li, YiQin Wang, and XiaoYan Zheng
SB222 The study of photoelectric facial blood flow volume Characteristic of heart blood stasis
syndrome in premature coronary heart disease and the relations between it and TXB2、
6-K-PGF1α
Zhixi Hu, Jinghui Zheng, Yi Zou, Jie Chen, and Juan Chen
SB220 Deduction Research on Syndromes Diagnosis of TCM Inquiry for Cardiovascular Diseases
Based on RBF Nerve Network
XU Zhao-xia, WANG Yi-qin, YAN Jian-jun, XIA Chun-ming, LIU Guo-ping, XU Jin,
GUO Rui, YAN Hai-xia, LI Fu-feng, and HONG Yu-jian
SB233 Attribute Weighting with Probability Estimation Trees for Improving Probability-based
Ranking in Liver Diagnosis
Na Chu, Lizhuang Ma, Min Zhou, Yiyang Hu, Ping Liu, and Zhiying Che
SB245 Application of the Support Vector Machine to the Identification of Human Pulse Signals
Kunbao CAI, Xiaoming WEN, Yunzi DUAN
SB235 Relation between arterial elastic characteristic and time-domain parameters of pulse
waveform in Traditional Chinese Medicine
Haixia Yan, Yiqin Wang, Rui Guo, Fufeng Li, Yujian Hong, Fengying Run, Yuci Yang,
Yiming Hao, and Jianjun Yan
SB221 Research and Application of Non-negative Matrix Factorization with Sparseness Constraint
in Recognition of Traditional Chinese Medicine Pulse Condition
Rui Guo, Yiqin Wang, Haixia Yan, Jianjun Yan, Fufeng Li, and Zhaoxia Xu
SB247 The Ideas and Methods in studying Pulse Width of Traditional Chinese Medicine
Congying Liu
SB223 Procedure Recording and Telediagnosis of Pulse Diagnosis in Traditional Chinese Medicine
Bingyi Hu, Lu Xu, Ao Tong, Yan Zhao, and Xu Zhang