Design of Intelligent Pre-Diagnosis System

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2018 by IJETT Journal
Volume-65 Number-3
Year of Publication : 2018
Authors : X.G.Zheng, C.D.Pan
DOI :  10.14445/22315381/IJETT-V65P224

Citation 

MLA Style: X.G.Zheng, C.D.Pan "Design of Intelligent Pre-Diagnosis System" International Journal of Engineering Trends and Technology 65.3 (2018): 132-135.

APA Style:X.G.Zheng, C.D.Pan (2018). Design of Intelligent Pre-Diagnosis System. International Journal of Engineering Trends and Technology, 65(3), 132-135.

Abstract
Intelligent pre-diagnosis is the application and practice of artificial intelligence technology in the medical field. It simulates the doctor`s consultation and diagnoses possible diseases based on symptoms of the patient. Based on medical diagnosis monographs and literature, this paper summarizes several fundamental diagnostic rules. Based on the basic data of disease, symptom, examination, doctor, etc., the knowledge map suitable for medical diagnosis are constructed and the intelligent pre-diagnosis based on medical knowledge map is studied.

Reference
[1] WEIZENBAUM J, “ELIZA-a computer program for the study of natural language communication between man and machine,” Communications of the ACM, vol. 9, no. 1, pp. 36-45, 1966.
[2] WOODS W A, “Lunar rocks in natural English: explorations in natural language question answering,” Linguistic Structures Processing, vol. 5, no. 5, pp. 521-569, 1977.
[3] K Doi, “Computer-aided diagnosis in medical imaging: historical review, current status and future potential,” Comput Med Imaging Graph, vol. 31, no. 4-5, pp. 198-211, 2007.
[4] K Doi, “Current status and future potential of computer-aided diagnosis in medical imaging,” The British Journal of Radiology, vol. 78, no. 1, pp. S3-S19, 2005.
[5] Christian B, Berners-Lee T, “Linked data-the story so far,” International Journal on Semantic Web and Information Systems, vol. 5, no. 3, pp. 1-22, 2009.
[6] XQ Cheng, XL Jin, YZ Wang, and et a1, “Survey on big data system and analytic technology,” Journal of Software, vol. 25, no. 9, pp. 1889-1908, 2014.
[7] YZ Cheng, Differential diagnosis of internal symptoms, 2nd ed., ShangHai: Shanghai Science and Technology Press, 2004.
[8] NL Yao, Differential diagnosis of TCM symptoms, 2nd ed., Beijing: People`s Health Publishing House, 2000.
[9] HL Kuang, Differential diagnostics of Internal Medicine, 4th ed., Beijing: People`s Health Publishing House, 2000.
[10] MR Clark, MD Sullivan, M Fischl, and et a1, “Symptoms as a clue to otologic and psychiatric diagnosis in patients with dizziness,” Journal of Psychosomatic Research, vol. 38, no. 5, pp. 461-470, 1994.

Keywords
intelligent pre-diagnosis, intelligent triage, auxiliary diagnosis, disease self-examination.