Medical Diagnostics with the Classification Task

Iaroslaw Kardash

doi:doi:10.11648/j.ijiis.20140303.11

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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

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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), 2024. 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

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[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.
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[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.
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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

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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

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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

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@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}
}

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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
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ER  -

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Author Information

Iaroslaw Kardash

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

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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

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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  -

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