Study on the Perception and Application of AI in Korean Medicine through Practice and Questionnaire of Korean Medicine Using a Diagnostic Expert System

2021 ◽  
Vol 35 (1) ◽  
pp. 22-27
Author(s):  
Ji-Hyuk Yang ◽  
Jeong-A Woo ◽  
Dong-Ha Shin ◽  
Suho Park ◽  
Young-Kyu Kwon
Keyword(s):  
Expert System ◽  
Korean Medicine

Study about Satisfaction of Clinical Practice by Using Diagnosis Expert System in Korean Medicine

2018 ◽  
Vol 32 (6) ◽  
pp. 355-360
Author(s):  
Sung Woon Choi ◽  
Jun Kwan Park ◽  
Kyo Sung Hwang ◽  
Yun Hwan Noh ◽  
Young Seuk Cho ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Expert System ◽  
Korean Medicine

scholarly journals Expert system practice of students majoring in Korean medicine and their responses to the future AI Era

2020 ◽  
Vol 9 ◽  
pp. 100571
Author(s):  
Ji Hyuk Yang ◽  
Jeong A. Woo ◽  
Hyun Woo Nam ◽  
Young Kyu Kwon
Keyword(s):  
Expert System ◽  
Korean Medicine ◽  
The Future

Network switching and voltage evaluation using an expert system in ac railway systems

1992 ◽  
Vol 139 (1) ◽  
pp. 1 ◽  
Author(s):  
C.S. Chang ◽  
T.T. Chan ◽  
K.K. Lee
Keyword(s):  
Expert System ◽  
Railway Systems

ESPNET: expert-system-based simulator of Petri nets

1988 ◽  
Vol 135 (4) ◽  
pp. 239 ◽  
Author(s):  
J. Duggan ◽  
J. Browne
Keyword(s):  
Expert System ◽  
Petri Nets

Diagnosing faults in a telecommunications network by an expert system

1990 ◽  
Vol 137 (5) ◽  
pp. 273 ◽  
Author(s):  
R.J. Allwood ◽  
C.N. Cooper ◽  
A. Taylor
Keyword(s):  
Expert System ◽  
Telecommunications Network

An expert system for FMS control

1993 ◽  
Vol 2 (4) ◽  
pp. 223 ◽  
Author(s):  
Wang Chengen ◽  
Zhu Jianying ◽  
Wei Zhongxin
Keyword(s):  
Expert System

HAZARD: An Expert System for Risk Assessment of Environmental Chemicals

1987 ◽  
Vol 26 (01) ◽  
pp. 13-23 ◽  
Author(s):  
H. W. Gottinger
Keyword(s):  
Expert System ◽  
Structural Information ◽  
Chemical Carcinogenesis ◽  
Structural Features ◽  
Environmental Chemicals ◽  
Chemical Carcinogens ◽  
Carcinogenic Activity ◽  
Current State ◽  
Structure Activity ◽  
Carcinogenic Potential

AbstractThe purpose of this paper is to report on an expert system in design that screens for potential hazards from environmental chemicals on the basis of structure-activity relationships in the study of chemical carcinogenesis, particularly with respect to analyzing the current state of known structural information about chemical carcinogens and predicting the possible carcinogenicity of untested chemicals. The structure-activity tree serves as an index of known chemical structure features associated with carcinogenic activity. The basic units of the tree are the principal recognized classes of chemical carcinogens that are subdivided into subclasses known as nodes according to specific structural features that may reflect differences in carcinogenic potential among chemicals in the class. An analysis of a computerized data base of known carcinogens (knowledge base) is proposed using the structure-activity tree in order to test the validity of the tree as a classification scheme (inference engine).

ANALYSIS OF PLANT FRAGARIA XANANASSA DISEASE DIAGNOSES USING PRODUCTION RULES BASE ON EXPERT SYSTEM

2020 ◽  
Vol 16 (1) ◽  
pp. 25-32
Author(s):  
Basiroh Basiroh ◽  
Wiji Lestari
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
General Public ◽  
Insect Pests ◽  
Fruit Rot ◽  
Proper Treatment ◽  
Harvest Time ◽  
Production Rules

Errors that occur in solving problems in strawberry plants (Fragaria Xananassa) such as the presence of leaf patches, fruit rot, perforated leaves, and insect pests can be the cause of not maximum in harvest time. The farmers and the general public who planted strawberry (Fragaria Xananassa) need to know the proper treatment of diseases and pests so that future yields as expected. Therefore, it takes an application as a solution in the delivery of information related to the problems that are often encountered in strawberry plants (Fragaria Xananassa). Methods of production rules can be used to diagnose the disease strawberry (Fragaria Xananassa) based on signs or symptoms that occur in the parts of plants and strawberry, the results of diagnosis using this method are the same as we do Consultation on experts.  The purpose of this study was to determine the early diagnosis of disease in strawberry plants (Fragaria Xananassa) based on signs or symptoms that occur in the plant and fruit parts. The results of the analysis of this study showed that the validation of disease and symptom data in strawberry plants (Fragaria Xananassa) reached 99%, meaning that between the data of symptoms and disease understudy the accuracy was guaranteed with the experts.

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