Literature DB >> 21234792

Chinese Acupuncture Expert System (CAES)-a useful tool to practice and learn medical acupuncture.

Chi Fai David Lam1, Kwong Sak Leung, Pheng Ann Heng, Chi Eung Danforn Lim, Felix Wu Shun Wong.   

Abstract

This paper describes the development of a Chinese Acupuncture Expert System (CAES) that will assist the learning and practice of medical acupuncture. This was the development of a Chinese Acupuncture Expert System which incorporated eight functional modules. These modules were 1) Add Patient Record subsystem; 2) Diagnosis subsystem ; 3) Acupuncture Prescription subsystem ; 4) Needle Insertion Position Animation subsystem ; 5) Acupuncture Points Usage Statistic subsystem ; 6) History Query subsystem; 7) Acupuncture Points Query subsystem and 8) Diagnosis Remarks and Diagnosis Record Save subsystem. Two databases were built-Patient Record database and Diagnosis (Acupuncture) Knowledge database. All the Traditional Chinese Medicine (TCM) knowledge and acupuncture treatment prescriptions were extracted from officially used TCM textbooks and received guidance and expert advice from two acupuncturists working in this project. A Chinese Acupuncture Expert System (CAES) was built, which after the input from users of any Chinese disease symptoms and signs, it can provide a list of related TCM syndrome diagnoses based on the patients' disease symptoms and signs, and at the same time it can offer advice of the appropriate Chinese acupuncture treatment to the users. CAES also provided text descriptions and acupuncture animations showing the acupoint locations and the direction and depth of the needle insertion technique. Therefore users can easily learn acupuncture and practice it. This new acupuncture expert system will hopefully provide an easy way for users to learn and practice Chinese Acupuncture and establish its usefulness after it was fully evaluated.

Entities:  

Mesh:

Year:  2011        PMID: 21234792     DOI: 10.1007/s10916-010-9647-0

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  4 in total

1.  The recent development and evaluation of a medical expert system (ABVAB).

Authors:  W S Felix Wong; K S Leung; Y T So
Journal:  Int J Biomed Comput       Date:  1990-04

2.  The development of an expert computer system on medical consulation.

Authors:  K S Leung; F W Wong; W Lam
Journal:  Int J Biomed Comput       Date:  1988-12

3.  Intelligent inferencing and haptic simulation for Chinese acupuncture learning and training.

Authors:  Pheng-Ann Heng; Tien-Tsin Wong; Rong Yang; Yim-Pan Chui; Yong Ming Xie; Kwong-Sak Leung; Ping-Chung Leung
Journal:  IEEE Trans Inf Technol Biomed       Date:  2006-01

Review 4.  Adverse effects of acupuncture: a study of the literature for the years 1981-1994.

Authors:  A J Norheim
Journal:  J Altern Complement Med       Date:  1996       Impact factor: 2.579

  4 in total
  2 in total

Review 1.  Developing and using expert systems and neural networks in medicine: a review on benefits and challenges.

Authors:  Abbas Sheikhtaheri; Farahnaz Sadoughi; Zahra Hashemi Dehaghi
Journal:  J Med Syst       Date:  2014-07-16       Impact factor: 4.460

Review 2.  Artificial intelligence-directed acupuncture: a review.

Authors:  Yulin Wang; Xiuming Shi; Thomas Efferth; Dong Shang
Journal:  Chin Med       Date:  2022-06-28       Impact factor: 4.546

  2 in total

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