Applying Fuzzy Logic and Neural Network to Rheumatism Treatment in Oriental Medicine

@article{Thang2007ApplyingFL,
  title={Applying Fuzzy Logic and Neural Network to Rheumatism Treatment in Oriental Medicine},
  author={Cao Thang and Eric W. Cooper and Yukinobu Hoshino and Katsuari Kamei},
  journal={J. Adv. Comput. Intell. Intell. Informatics},
  year={2007},
  volume={11},
  pages={4-10}
}
In this paper, we present an application of soft computing into a decision support system RETS: Rheumatic Evaluation and Treatment System in Oriental Medicine (OM). Inputs of the system are severities of observed symptoms on patients and outputs are a diagnosis of rheumatic states, its explanations and herbal prescriptions. First, an outline of the proposed decision support system is described after considering rheumatic diagnoses and prescriptions by OM doctors. Next, diagnosis by fuzzy… 
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References

SHOWING 1-10 OF 34 REFERENCES

RENOIR: An expert system using fuzzy logic for rheumatology diagnosis

A new expert system to aid the nonspecialist physician in diagnosing arthritis and collagen diseases has been developed and a first validation process has shown good performance of the ES compared to 12 physicians with diverse levels of experience in rheumatic diseases.

[New approaches to computer-assisted diagnosis of rheumatologic diseases].

The goal of this paper is to describe the current research toward the development of the on-line expert system Cadiag-4/Rheuma-Radio, an early prototype of which was tested on radiological disorders of the hip joint related to rheumatological diseases.

FUZZY SET MODEL AND COMPUTERIZED DIAGNOSIS SYSTEM IN TRADITIONAL CHINESE MEDICINE

The necessity of applying Fuzzy set theory as a mathematical tool to the model building, the formulation of membership function, the adoption of floating threshold method in the course of diagnosis, etc. is expounded.

Survey of utilisation of fuzzy technology in Medicine and Healthcare

Approximate reasoning for oriental traditional medical expert systems

  • H. Nguyen
  • Computer Science
    1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation
  • 1997
The author describes the diagnosis process of oriental traditional medicine (OTM) using compositions of rules as an inference mechanism model of the BienChung system of OTM, which accepts fuzzy descriptions of the patient's symptoms and their fuzzy relationships in the form of rules and the negation of rules.

Adaptation and abstraction as steps towards case-based reasoning in the real medical world: case-based selection strategies for antibiotics therapy.

An approach to making suitable case-based reasoning methods for real medical world problems, which chooses therapy advice as antibiotics for patients in an intensive care unit, who have an infectious disease as an additional complication.

Artificial Intelligence: A Guide to Intelligent Systems

The book demonstrates that most ideas behind intelligent systems are simple and straightforward, and the reader needs no prerequisites associated with knowledge of any programming language.

A Fuzzy Clustering Based Selection Method to Maintain Diversity in Genetic Algorithms

A fuzzy clustering based selection method is proposed to maintain the diversity and apply the selection method to genetic algorithm (GA) and it is found that the GA makes the individuals widely distributed in a solution space.