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Proceedings of the Annual Meeting of Biomedical Fuzzy Systems Association : BMFSA

Volume And Issue List
Proceedings of the International Congress of Biomedical Fuzzy Systems & the Annual Meeting of Biomedical Fuzzy Systems Association : BMFS-Tokyo
- 91

Predecessor

Biomedical fuzzy systems bulletin

Proceedings of the International Congress of Biomedical Fuzzy Systems & the Annual Meeting of Biomedical Fuzzy Systems Association : BMFS-Tokyo
91

[title in Japanese]

Released: October 10, 2017

p.Cover1-

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Released: October 10, 2017

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[title in Japanese]

Released: October 10, 2017

p.III-VII

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[title in Japanese]

Released: October 10, 2017

p.VIII-IX

Full Text PDF[124K]

BIOMEDICAL APPLICATIONS OF FUZZY NEURAL NETWORKS FROM MEDICAL DIAGNOSIS TO PATTERN RECOGNITION

Elie Sanchez

Released: October 10, 2017

p.1-3

Full Text PDF[293K]

MEASURES AND PRINCIPLES OF UNCERTAINTY

George J. Klir

Released: October 10, 2017

p.4-27

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Knowledge Representation in Neural Network and Fuzzy Logic

Katsumi Yoshida

Released: October 10, 2017

p.28-29

There has been an interest to apply neural network as inference engines of the medical consultation system, because the neural expert system is expected to solve some obstacles of the knowledge acquisition. However, some problems remain to be examined in development of neural expert systems. One problem concerns how the data structure influence on the process of the knowledge acquisition and what kind of data structure is desirable in the learning process. Another one concerns that the knowledge embodied in neural network is difficult for medical experts to understand the meaning of the connection weights. The purpose of this study is to elucidate these problems concerning the knowledge acquisition by the neural network.

FUZZINESS IN THE CORTICAL COLUMN MODEL

Francois Blanc, Elie Sanchez

Released: October 10, 2017

p.30-32

Full Text PDF[196K]

A Clinical Report and Retrieval System Based on Fuzzy Set Theory

Mansour Jamzad, Akihiko Uchiyama, Hinako Toyama

Released: October 10, 2017

p.33-34

Full Text PDF[154K]

Expression of a Multiple Fuzzy Set Defined on Dependent Coordinates System and Reducing Transformation to COSMOS-DIAGRAM

Torao Yanaru, Toyohiko Hirota

Released: October 10, 2017

p.35-38

We propose here a new theory of a multiple fuzzy set(MFS) defined on the frameworks(=dependent coordinates system as a support set) composed of vectors in a unit circle, which is taken out from a universe of static frameworks(set of support sets). And we propose another new concept of "fuzziness" concerning how to be seen through the spectacles applied to the frameworks. The measures of spectacles are constructed on the basis of relationship. Further, we propose a new methodology to express a MFS in the geometrically measurable form by using the reducing transformation technology. The diagram of transformed MFS(TMFS) is called by the name, COSMOS-DIAGRAM because of the close resemblance of the figures to the several appearances of natural objects such as trees, flowers, fireworks, constellations, cellular segmentations and so on. Lastly, we refer to its capability in several engineering fields as well as the mathematical interest.

Handling fuzzy items in diagnostic knowledge bases

Hans Bandemer

Released: October 10, 2017

p.39-40

Full Text PDF[219K]

Uncertainties in Estimating Dose-Effect Relationships Under Emergency Conditions

Yasushi Nishiwaki, Christian Preyssl

Released: October 10, 2017

p.41-42

Full Text PDF[194K]

OPTIMISATION OF RADIATION PROTECTION BASED ON FUZZY RISK ANALYSIS

C. Preyssl, Y. Nishiwaki

Released: October 10, 2017

p.43-44

Full Text PDF[168K]

Medical Application of Fuzzy Decision Making

Katsumi Yoshida, Eiichiro Tazaki

Released: October 10, 2017

p.45-46

Full Text PDF[133K]

The basic consideration about the relationship between doctors' diagnostic rules and membership functions

Tai Takahashi, Tomoaki Imamura, Shigekoto Kaihara

Released: October 10, 2017

p.47-50

This presentation is consisted of two parts. The first one is the essential consideration about the difference between doctors' diagnostic rules. The second part is the study about the relationship between doctors' diagnostic rule and characteristics of membership functions.

Differential Diagnosis of Gastric Cancer and Gastric Ulcer Using a Fuzzy Inference

Keiichi Saito, Hiroshi Hashimoto, Akihiko Uchiyama

Released: October 10, 2017

p.51-52

Full Text PDF[130K]

An Automatic Skin Allergy Test Using Fuzzy Image Processing

Mignon Park, Byeong-Sun Jeong, Myeong-Gu Lee

Released: October 10, 2017

p.53-

Full Text PDF[33K]

APPLICATION OF FUZZY EXPERT SYSTEM FOR ORTHODONTIC DIAGNOSIS

H. Kawagoe, T. Hirose, T. Itoh, M. Matsumoto

Released: October 10, 2017

p.54-57

Fuzzy expert system construction tool "the Hyper brain NORIO", was utilized to develop a fuzzy expert system for orthodontic analysis on the personal computer EPSON PC286LS. The analysis employed the fuzzy logic. Roentgen cephalometrics is a vital tool in the conventional orthodontic diagnosis where by films are traced and measured utilizing the key landmarks, line, and planes. The results are then compare to the norms. The diagnostic results employing the above system were fitted to the diagnosis by the orthodontists.

An Application of Fuzzy System to Orthodontic Diagnosis in Orthosurgical Case

Kazuo Tsuji, Yoshiyasu Yoshikawa

Released: October 10, 2017

p.58-60

Full Text PDF[884K]

Fuzzy measuring from blurred micro pictures(Short message)

Hans Bandemer, Andre Kraut

Released: October 10, 2017

p.61-

Full Text PDF[83K]

Diagnostic System for Diabetes Mellitus based on the Response of Glucose Tolerance Test Using a Fuzzy Inference

Seizaburo Arita, Masaya Yoneda, Yoshimi Hori

Released: October 10, 2017

p.62-

Full Text PDF[38K]

Description and Validation of PNEUMON-LA : A medical expert system for pneumonia diagnosis

R. Lopez de Mantaras, A. Verdaguer, C. Sierra, A. Patak, F. Sanz

Released: October 10, 2017

p.63-64

Full Text PDF[246K]

Application of Fuzzy Measure in Classification of Childhood Bronchial Asthma

H. Inada, T.J. Kim, S. Kusuda, T. Sugahara, K. Nishimaki, S. Niihira, S. Nakajima, G. Isshiki

Released: October 10, 2017

p.65-66

Full Text PDF[153K]

Diagnostic System for Diabetes Mellitus based on the Response of Glucose Tolerance Test using a Fuzzy Inference

Seizaburo ARITA, Masaya YONEDA, Yoshimi HORI

Released: October 10, 2017

p.67-70

Full Text PDF[248K]

ROC Analysis Using Fuzzy Inference in Radiographic Screen-Film System

Suguru Ueda, Yoshihiko Murano, Tatsumi Hamada, Seizaburo Arita

Released: October 10, 2017

p.71-72

Full Text PDF[141K]

An application of Fuzzy inference to the ultrasonographic diagnosis of liver cirrhosis

Kazuhisa Hamabata, Tadashi Shibue, Seizaburo Arita

Released: October 10, 2017

p.73-74

Full Text PDF[139K]

Application of fuzzy inference to the diagnosis of prostatic cancer by transrectal ultrasonography

Tomoaki Fujioka, Seizaburo Arita, Taiichi Saito, Yoshimichi Hori, Hiroyuki Koike, Takashi Kubo, Tsutomu Ohhori

Released: October 10, 2017

p.75-77

Full Text PDF[242K]

Application of Fuzzy Logic to Diagnoses of Ovarian Tumors with MRI

Reiko Takeda, Kazutaka Makino, Hitoshi Kawagoe

Released: October 10, 2017

p.78-81

An application of the fuzzy logic to diagnoses of ovarian tumors with MRI is proposed. 14 example cases were applied to the system. This inference system is useful to infer the nature of the tumors.

FUZZY CONTROL OF SUPERCONDUCTING ACTUATORS FOR POTENTIAL BIOMEDICAL APPLICATIONS

Mochimitsu KOMORI, Tadashi KITAMURA

Released: October 10, 2017

p.82-85

Full Text PDF[810K]

An Attempt to Regulate High Frequency Ventilation by Fuzzy Logic

Makoto Noshiro, Tsutomu Fujino, Jun Ikebe, Kazuo Takakuda

Released: October 10, 2017

p.86-88

Full Text PDF[159K]

The fluid replacement program with the spread sheet applying the fuzzy theory for the resuscitation of severe burn patient

Shingo WAKAMATSU, Masayuki ISHIJIMA, Kazuhiro IMAMURA, Takeshi Hirayama

Released: October 10, 2017

p.89-90

Full Text PDF[118K]

Alternative Mechanisms for Fuzzy Logic Control

Ronald R. Yager

Released: October 10, 2017

p.91-94

Full Text PDF[350K]

THE INTELLIGENT CONTROLLER FOR PHYSIOLOGICAL SYSTEM : APPLICATION TO BLOOD PRESSURE REGURATION

Toru Masuzawa, Yasuhiro Fukui, Marou Suzuki

Released: October 10, 2017

p.95-98

Full Text PDF[369K]

Clinical Application of Fuzzy-logic Control of Blood Pressure through Anesthesia

Toshinori Tsutsui, Seizaburou Arita, Yoshimi Hori, Shingo Hamada

Released: October 10, 2017

p.99-101

Full Text PDF[209K]

CATEGORIZATION OF ANEASTHESIOLOGISTS THINKING REPRESENTED BY ARTIFICIAL INTELLIGENCE AND COMPARISON OF EACH CATEGORY : A COMPUTER CONTROL SYSTEM OF APPLYING ANEASTHESIA USING FUZZY LOGIC FOR MEDICAL OPERATION

Tomoaki IMAMURA, Tai TAKAHASHI, Shigekoto KAIHARA, Tadaki HORIUCHI, Heizi OKUDA, Morio UCHIDA

Released: October 10, 2017

p.102-103

Medicine is not always an exact science. Previously this factor made the use of automatic control with a computer very difficult. But, if we can utilize the advantage of fuzzy logic we can use a computer for automatic control in this field. Fuzzy logic can be very beneficial in this field if it enables us to use computers. This system can replicate the following method used by the professional aneasthesiologists. Presently, the doctor looks at the blood pressure and changes in systolic blood pressure to determine the amount of medicine to administer to the patient. Then the doctor uses a fuzzy way of thinking. He observes the rise in blood pressure and using a type of fuzzy thinking he adjusts the dosage of medicine that the patient receives.

[title in Japanese]

Released: October 10, 2017

p.104-

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[title in Japanese]

Released: October 10, 2017

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Volume And Issue List Proceedings of the International Congress of Biomedical Fuzzy Systems & the Annual Meeting of Biomedical Fuzzy Systems Association : BMFS-Tokyo

Predecessor

Proceedings of the International Congress of Biomedical Fuzzy Systems & the Annual Meeting of Biomedical Fuzzy Systems Association : BMFS-Tokyo91

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Volume And Issue List
Proceedings of the International Congress of Biomedical Fuzzy Systems & the Annual Meeting of Biomedical Fuzzy Systems Association : BMFS-Tokyo

Proceedings of the International Congress of Biomedical Fuzzy Systems & the Annual Meeting of Biomedical Fuzzy Systems Association : BMFS-Tokyo
91