Expert Systems in Orthodontic Clinical Diagnosis

Grant, Peter D.; Freer, Terrence J.

Expert Systems in Orthodontic Clinical Diagnosis

Australasian Orthodontic Journal

Volume 13 (1993): Issue 1 (October 1993)

By:

Peter D. Grant and Terrence J. Freer

Open Access

|Jan 2024

References

Freer TJ, Adkins BL. New approach to malocclusion and indices. J Dent Res 1968; 47: 1111-1117.
Search in Google Scholar Back to article
Freer TJ. Interrelationships of attributes of malocclusion. Int Dent J 1970; 20: 5.
Search in Google Scholar Back to article
Freer TJ. Assessment of occlusal status: the matched-pair similarity technique. Int Dent J 1972; 22:412-422.
Search in Google Scholar Back to article
Finkelstein M, Lavelle C, Hassard T. The role of cluster analysis on tradi-tional cephalometric dimensions. Angle Orthod 1989; 59: 97-105.
Search in Google Scholar Back to article
Holman JG, Cookson MJ. Expert systems for medical application. J Med Eng Tech 1987; 11: 151-159.
Search in Google Scholar Back to article
Small SL, Muechler EK. Heuristic determination of relevant diagnostic procedures in a medical expert system for gynaecology. Am J Obstet Gynecol 1989; 161: 17-24.
Search in Google Scholar Back to article
Wigertz O. Making decisions based on “fuzzy” medical data - can expert systems help? Meth Inform Med 1986; 25: 59-61.
Search in Google Scholar Back to article
Dubois PH, Hermanus JP, Cantraine F. A system for computer-aided diagnosis. Med Inform 1989; 14: 13-23.
Search in Google Scholar Back to article
Van Melle M. A domain independent production rule system for consulta-tion systems. Proceedings 6th International Joint Conference on Artificial Intelligence, Tokyo. 1979; 923-935.
Search in Google Scholar Back to article
Barbara Carroll. Artificial intelli-gence. Expert systems for clinical diagnosis: are they worth the effort? Behav Sci 1987; 32: 274-292.
Search in Google Scholar Back to article
Langlotz CP. The feasibility of axiomatically-based expert systems. Comput Methods Programs Biomed 1989; 30: 85-95.
Search in Google Scholar Back to article
Quinlan JR. The effect of noise on concept learning. In: Machine learn-ing, an artificial intelligence approach. Vol II, Michalski R, Caronell J, Mitchell T, eds. Morgan Kaufman: 1984: 149-166.
Search in Google Scholar Back to article
Spackman KA, Connelly DP. Knowl-edge-based systems in laboratory medicine and pathology. A review and survey of the field. Arch Pathol Lab Med 1987; 111: 116-119.
Search in Google Scholar Back to article
Mars NJI, Miller PL. Knowledge acquisition and verification tools for medical expert systems. Med Decis Making 1987;7:6-11.
Search in Google Scholar Back to article
Potter B, Ronan SG. Computerized dermatopathologic diagnosis. J Am AcadDermatod 1987; 17: 119-131.
Search in Google Scholar Back to article
Quinlan JR, Horn KA, Compton PJ, Lazarus L. Inductive knowledge acquisition, a case study. In: Quilan J R ed. Applications of expert systems. Reading: Addison-Wesley, 1987.
Search in Google Scholar Back to article
Hunt EB, Marin J, Stone PJ. Experi-ments in induction. New York: Academic Press, 1966.
Search in Google Scholar Back to article
Quinlan JR. Discovering rules by induction from large collections of examples. In: Michie D. ed. Expert systems in the micro electronic age. Edinburgh: Edinburgh University PRess, 1979: 168-201.
Search in Google Scholar Back to article
Schwartz S, Griffin 1, Fox J. Artificial intelligence. Clinical expert systems versus linear models: Do we really have to choose? Behav Sci 1989; 34: 305-311.
Search in Google Scholar Back to article
Sims-Williams JH, Brown ID, Matthewman A, Stephens CD. A computer-controlled expert system for orthodontic advice Br Dent J 1987; 161-166.
Search in Google Scholar Back to article
Brown ID, Adams SR, Stephens CD, Errit SJ, Sims Williams JH. The initial use of a computer-controller expert system in the treatment planning of Class II Division I malocclusion. Brit JOrth 1991; 18: 1-7.
Search in Google Scholar Back to article
Levy-Mandel AD, Venetsanopoulos AN, Tsotsos JK. Knowledge-based landmarking of cephalograms. Comput Biomed Res 1986; 19: 282-309.
Search in Google Scholar Back to article
Parthasarathy, Nugent ST, Gregson PG. Automatic Iandmarking of cephalograms. Comput Biomed Res 1989; 22: 248-269.
Search in Google Scholar Back to article
Angle EH. Classification of malocclu-sion. Dent Cosmos 1989; 41: 248-264.
Search in Google Scholar Back to article
Gray AS, Demirjian A. Indexing occlusions for dental health pro-grams. Am J Orthod 1977; 72: 191_197.
Search in Google Scholar Back to article
Ricketts RM, Bench RW, Hilgers JJ, Schulhof RJ. An overview of comput-erized cephalometries. Amer J Orthod 1972; 61: 1-28.
Search in Google Scholar Back to article
Jacobson A. The “Wits” appraisal. In: Jacobson A, Caufield P W. Introduc-tion to Radiographic Cephalometry. Philadelphia: Lea and Febiger, 1985; 53-62.
Search in Google Scholar Back to article
Quinlan JR. Induction, knowledge and expert systems. In: Gero JS, Stanton R. eds. Artificial intelligence developments and applications. Amsterdam: North Holland, 1988: 253-271.
Search in Google Scholar Back to article

DOI: https://doi.org/10.2478/aoj-1993-0024 | Journal eISSN: 2207-7480 | Journal ISSN: 2207-7472

Journal RSS Feed

Language: English

Page range: 32 - 38

Published on: Jan 18, 2024

Published by: Australian Society of Orthodontists Inc.

In partnership with: Paradigm Publishing Services

Publication frequency: 1 times per year

Related subjects:

Medicine,

Basic medical science,

Basic medical science, other

© 2024 Peter D. Grant, Terrence J. Freer, published by Australian Society of Orthodontists Inc.
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous article Volume 13 (1993): Issue 1 (October 1993)Next article