Medical Diagnostics with the Classification Task

Iaroslaw Kardash

doi:doi:10.11648/j.ijiis.20140303.11

| Peer-Reviewed

Medical Diagnostics with the Classification Task

Iaroslaw Kardash

Published in International Journal of Intelligent Information Systems (Volume 3, Issue 3)

Received: 31 May 2014 Accepted: 21 July 2014 Published: 20 August 2014

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Modeling with reusable knowledge components on the basis of classification task for knowledge systems for medical diag-nostics is considered. New problem solving method (method of feature set analysis) for classification task is proposed. It works faster than the known method of potential candidates pruning (from the CommonKADS methodology) for the domain with the number of attributes over 40.

Published in	International Journal of Intelligent Information Systems (Volume 3, Issue 3)
DOI	10.11648/j.ijiis.20140303.11
Page(s)	19-26
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Knowledge Systems, Medical Diagnostics, Classification Task, Reusable Knowledge Components, Knowledge System for Determining Alloy Biocompatibility DentExp, Problem-Solving Method of Feature-Set Analysis

References

[1]	O. Larychev. Theory and methods of decision making and also the Chronicle of events in magician countries. Moscow: Logos, 2002 / О. Ларичев. Теория и методы принятия решений, а также Хроника событий в волшебных странах. Москва: Логос, 2002.
[2]	V. Onyshchenko, A.Mirza. “Use of computer technology in diagnosis of the pain’s syndrome in temporomandibular joint disfunction”. /Modern dentistry 3’2000, pp.70-73 / Онищенко В.С., Мирза А.И. Применение компьютерных технологий в диагностике бо¬ле-вого синдрома дисфункции височно¬нижнечелюс-ного сустава. Современная стоматология. – 2000. – № 3, C.70-73.
[3]	L. Leportskaya. “Modern diagnostics methods in orthodontics”. DENTART 3/1996, pp.10-13. / Л. Лепортская Современные методы диагностики в ортодонтии. DentArt, 3/1996, С.10-13.
[4]	D. Deschamps, A.M. de Rocha Fernandes. “An expert system to diag¬no¬sis periodontal disease”. /6th Internet World Congress for Biomedical Scien¬ces, Poster #29,. http://www.uclm.es/inabis2000/poster/files/029/session.htm
[5]	N. Dydyk, Y. Zablotskyy, M. Gzegotskyy. “Computer program for audit and analysis of patient dentitions before and after of stomatologic care”, in Acta Medica Leopoliesia, (3)2005, pp.131–137 / Дидик Н.М., Заблоцький Я.В., Гжегоцький М.М. Програмне забезпечення для обліку та аналізу стану зубів і зубних рядів пацієнтів перед та після стоматологічного лікування // Acta Medica Leopoliesia.– 2005.– №3.– С.131–137.
[6]	J. Rudin. “DART (Diagnostic Aid and Resource Tool): a computerized clinical decision support system for oral pathology”. Compendium 1994, 15(11): pp. 1316, 1318, 1320 passim.
[7]	A. Polášková, J. Feberová, T. Dostálová, P. Kříž, M. Seydlová. “Clinical decision support system in dental implantology”. MEFANET Journal 2013; 1(1): 11–14
[8]	I. Kardash. “Operation of DentExp intellectual medical system in diagnostics of dental alloy intolerance” in Collection of scientific works Computer technologies in printing, Nu.15, 2006, pp.61-71. / Кардаш Я.А. Робота інтелектуальної медичної системи DentExp при постановці діагнозу для задачі встановлення несумісності стоматологічних матеріалів. //Збірник наукових праць „Комп’ютерні технології друкарства”, № 15, 2006, C.61-71.
[9]	I. Kardash. “Java-version of DentExp intelligent medical system with binary logic application”, in Materials of XIII International conference on automatic control (Automatics-2006), Vinnytsia, September 25-28, 2006, pp.392-396. / Кардаш Я.А. Java-версія інтелектуальної медичної системи DentExp з бінарною логікою. //Матеріали XIII Міжнародної конференції з автоматичного управління (Автоматика-2006), м. Вінниця, 25-28 вересня 2006 р., с.392-396.
[10]	I. Kardash. “Conceptual modelling and developing of reusable knowledge components for intelligent systems in medical diagnostics on the basis of CommonKADS approach”, in Collection of Scientific Papers Information Refinement and Search, 25(101), 2006, pp.26-33 / Кардаш Я.А. Концептуальне моделювання та створення повторно вживаних компонент знань для інтелектуальних систем у медичній діагностиці на базі методології CommonKADS. Міжвідомчий збірник наукових праць „Відбір і обробка інформації”, випуск 25(101), 2006 р., С.26-33.
[11]	G. Schreiber et al. Knowledge Engineering and Mana¬ge¬ment: The CommonKADS Methodology. Cambridge: MIT Press, 2000.
[12]	I. Kardash. Expert systems development for medical diagnostics on the basis of reusable knowledge components, unpublished. – Manuscript. An undefended yet work for a PhD sciences degree by speciality 05.13.06 – „Information technologies”. – Lviv Polytechnic National University, Lviv, Ukraine.
[13]	C. Duursma. Role-Limiting Methods withing CommonKADS Library, 1996, electronic publication http://arti.vub.ac.be/previous_projects/kads/CH/CH.html
[14]	W. Clancey. “Heuristic Classification”. TR KSL-85-5, Stanford University, Department of Computer Science, 1985.

Cite This Article

Plain Text BibTeX RIS

APA Style

Iaroslaw Kardash. (2014). Medical Diagnostics with the Classification Task. International Journal of Intelligent Information Systems, 3(3), 19-26. https://doi.org/10.11648/j.ijiis.20140303.11

Copy | Download

ACS Style

Iaroslaw Kardash. Medical Diagnostics with the Classification Task. Int. J. Intell. Inf. Syst. 2014, 3(3), 19-26. doi: 10.11648/j.ijiis.20140303.11

Copy | Download

AMA Style

Iaroslaw Kardash. Medical Diagnostics with the Classification Task. Int J Intell Inf Syst. 2014;3(3):19-26. doi: 10.11648/j.ijiis.20140303.11

Copy | Download

@article{10.11648/j.ijiis.20140303.11,
  author = {Iaroslaw Kardash},
  title = {Medical Diagnostics with the Classification Task},
  journal = {International Journal of Intelligent Information Systems},
  volume = {3},
  number = {3},
  pages = {19-26},
  doi = {10.11648/j.ijiis.20140303.11},
  url = {https://doi.org/10.11648/j.ijiis.20140303.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20140303.11},
  abstract = {Modeling with reusable knowledge components on the basis of classification task for knowledge systems for medical diag-nostics is considered. New problem solving method (method of feature set analysis) for classification task is proposed. It works faster than the known method of potential candidates pruning (from the CommonKADS methodology) for the domain with the number of attributes over 40.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Medical Diagnostics with the Classification Task
AU  - Iaroslaw Kardash
Y1  - 2014/08/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ijiis.20140303.11
DO  - 10.11648/j.ijiis.20140303.11
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 19
EP  - 26
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20140303.11
AB  - Modeling with reusable knowledge components on the basis of classification task for knowledge systems for medical diag-nostics is considered. New problem solving method (method of feature set analysis) for classification task is proposed. It works faster than the known method of potential candidates pruning (from the CommonKADS methodology) for the domain with the number of attributes over 40.
VL  - 3
IS  - 3
ER  -

Copy | Download

Author Information

Iaroslaw Kardash

Center of Information Technologies, Lviv National University of Ivan Franko, Lviv, Ukraine

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Iaroslaw Kardash. (2014). Medical Diagnostics with the Classification Task. International Journal of Intelligent Information Systems, 3(3), 19-26. https://doi.org/10.11648/j.ijiis.20140303.11

Copy | Download

ACS Style

Iaroslaw Kardash. Medical Diagnostics with the Classification Task. Int. J. Intell. Inf. Syst. 2014, 3(3), 19-26. doi: 10.11648/j.ijiis.20140303.11

Copy | Download

AMA Style

Iaroslaw Kardash. Medical Diagnostics with the Classification Task. Int J Intell Inf Syst. 2014;3(3):19-26. doi: 10.11648/j.ijiis.20140303.11

Copy | Download

@article{10.11648/j.ijiis.20140303.11,
  author = {Iaroslaw Kardash},
  title = {Medical Diagnostics with the Classification Task},
  journal = {International Journal of Intelligent Information Systems},
  volume = {3},
  number = {3},
  pages = {19-26},
  doi = {10.11648/j.ijiis.20140303.11},
  url = {https://doi.org/10.11648/j.ijiis.20140303.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20140303.11},
  abstract = {Modeling with reusable knowledge components on the basis of classification task for knowledge systems for medical diag-nostics is considered. New problem solving method (method of feature set analysis) for classification task is proposed. It works faster than the known method of potential candidates pruning (from the CommonKADS methodology) for the domain with the number of attributes over 40.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Medical Diagnostics with the Classification Task
AU  - Iaroslaw Kardash
Y1  - 2014/08/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ijiis.20140303.11
DO  - 10.11648/j.ijiis.20140303.11
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 19
EP  - 26
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20140303.11
AB  - Modeling with reusable knowledge components on the basis of classification task for knowledge systems for medical diag-nostics is considered. New problem solving method (method of feature set analysis) for classification task is proposed. It works faster than the known method of potential candidates pruning (from the CommonKADS methodology) for the domain with the number of attributes over 40.
VL  - 3
IS  - 3
ER  -

Copy | Download