Запис Детальніше

Integrated onto-based information analytical environment of scientific research, professional healing and e-learning of Chinese image medicine

Електронний науковий архів Науково-технічної бібліотеки Національного університету "Львівська політехніка"

Переглянути архів Інформація
 
 
Поле Співвідношення
 
Title Integrated onto-based information analytical environment of scientific research, professional healing and e-learning of Chinese image medicine
 
Creator Lupenko, S. A.
Orobchuk, O. R.
Vakulenko, D. V.
Sverstyuk, A. S.
Horkunenko, A. B.
 
Contributor Ternopil Ivan Pului National Technical University
I. Horbachevsky Ternopil State Medical University
 
Subject онтологія
інтегроване інформаційно-аналітичне середовище
китайська образна медицина
ontology
integrated information analytical environment
Chinese image medicine
004.652
 
Description Обгрунтовано актуальність розроблення, а також сформульовано загальні вимоги
та побудовано архітектуру інтегрованого онтоорієнтованого інформаційно-аналітичного
середовища наукових досліджень, професійної цілительської діяльності та електронного
навчання китайської образної медицини як перспективної складової інтегральної
медицини. Сформульовано вимоги та розроблено узагальнені архітектури складових
інтегрованого онтоорієнтованого інформаційно-аналітичного середовища наукових
досліджень, професійної цілительської діяльності та електронного навчання китайської
образної медицини, а саме: для інформаційної системи професійної цілительської
діяльності «Імідж-терапевт», бази знань китайської образної медицини, експертної
системи підтримки прийняття діагностичних та терапевтичних рішень, інформаційної
системи електронного навчання китайської образної медицини, інформаційної системи
наукових досліджень китайської образної медицини.
The timeliness of development and formulation of general requirements and
architecture of integrated onto-based information analytical environment of scientific
research, professional healing and e-learning of Chinese image medicine as a promising
component of integrative medicine is substantiated in the article. Scientific evidence-based
integrative medicine is typical for conventional medicine; but unlike the conventional, the
integrative medicine synthesizes experience and engages all the best achievements of ancient
medicine and contemporary Western one. The integrative medicine is not a new field of
medicine; it is its new paradigm that facilitates the new quality of healthcare services.
Traditional Chinese medicine experienced a number of comprehensive clinical
researches, theoretical scientific studies and relevant information analysis means were
developed (ontologies, expert systems, grid systems), there is no such research and significant
information analysis means for Chinese image medicine. The development of integrated ontobased
information analytical environment of scientific research, professional healing and elearning
of Chinese image medicine is aimed to ensure the effective organization and
coordination of existing professionals of Chinese image medicine, its scientific researchers,
people who study Chinese image medicine and the establishing of modern intellectualized
information means and resources in traditional, complementary and integrative medicine on a
national and worldwide basis. The developing information environment will enable on a high
scientific, technological and infrastructure levels data collection and automated statistical and
intellectualized analysis of treatment results by means of Chinese imagine medicine; will
facilitate the creation of a unified database of theoretical, experimental and clinical research in
integrative medicine.
Onto-basis of the developed integrated information environment will help to unify,
standardize the technologies of information submission (data and knowledge) in traditional
Chinese medicine and Chinese image medicine that will make it possible to solve the problem of semantic heterogeneity of poorly structured and hard formalized knowledge of Chinese
image medicine because the use of ontologies eliminates subjective factors, polysemantics,
fuzziness of images and concepts that are explicitly or implicitly operated by complementary
medicine specialists in diagnostic and therapeutic decision-making. In addition, the developed
onto-based environment allows maintaining the necessary level of integration and
sustainability of knowledge and data in Chinese medicine for different information technology
and systems, and also the possibility of multiple reuse of knowledge for various information
systems and applications.
Also the requirements and general architectural components of integrated onto-based
information analytical environment of scientific research, professional healing and e-learning
of Chinese image medicine were developed in the study, in particular for the information
system of professional healing Image Therapist, a knowledge-base of Chinese image medicine,
expert system for diagnostic and therapeutic decision-making support, information system of
e-learning of Chinese image medicine, information system of research in Chinese image
medicine.
 
Date 2018-11-13T15:34:43Z
2018-11-13T15:34:43Z
2017-03-28
2017-03-28
 
Type Article
 
Identifier Integrated onto-based information analytical environment of scientific research, professional healing and e-learning of Chinese image medicine / S. A. Lupenko, O. R. Orobchuk, D. V. Vakulenko, A. S. Sverstyuk, A. B. Horkunenko // Вісник Національного університету «Львівська політехніка». Серія: Інформаційні системи та мережі. — Львів : Видавництво Львівської політехніки, 2017. — № 872. — С. 10–19.
http://ena.lp.edu.ua:8080/handle/ntb/42963
Integrated onto-based information analytical environment of scientific research, professional healing and e-learning of Chinese image medicine / S. A. Lupenko, O. R. Orobchuk, D. V. Vakulenko, A. S. Sverstyuk, A. B. Horkunenko // Visnyk Natsionalnoho universytetu "Lvivska politekhnika". Serie: Informatsiini systemy ta merezhi. — Lviv : Vydavnytstvo Lvivskoi politekhniky, 2017. — No 872. — P. 10–19.
 
Language en
 
Relation Вісник Національного університету «Львівська політехніка». Серія: Інформаційні системи та мережі, 872, 2017
http://nccam.nih.gov/
http://www.siib.org/news/2468-SIIB/version/default/part/AttachmentData/data/
http://www.bravewell.org/integrative_medicine/what_is_IM
https://kundawell.com/ru/mezhdunarodnaya-programmanauchnykh-issledovanij-kitajskoj-imidzh-meditsiny-i-chzhun-yuan-tsigun-na-2017-2023-god
http://www.who.int/medicines/publications/traditional/
http://moz.gov.ua/ua/portal/
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5. Horrigan B. What is Integrative Medicine? Published by The Bravewell Collaborative; 2010.http://www.bravewell.org/integrative_medicine/what_is_IM Accessed November 6,2011, вільний (дата звернення: 23.11.2016).
6. Wang Y., Zhonghua Y., Jiang Y., Liu Y., Chen L., Liu Y. A Framework and Its Empirical Study of Automatic Diagnosis of Traditional Chinese Medicine Utilizing Raw Free-text Clinical Records.Journal of Biomedical Informatics. 2012;45(2):210–223. doi:10.1016/j.jbi.2011.10.010.
7. Wang H. A computerized diagnostic model based on naive bayesian classifier in traditional chinese medicine. Proceedings of the 1st International Conference on BioMedical Engineering and Informatics (BMEI '08); May 2008; IEEE; pp. 474–477.
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10. Mao Y, Yin A. Ontology modeling and development for Traditional Chinese Medicine. Proceedings of the 2nd International Conference on Biomedical Engineering and Informatics (BMEI '09); October 2009; IEEE; pp. 1–5.
11. Lukman S., He Y., Hui S. C. Computational methods for traditional Chinese medicine: a survey. Computer Methods and Programs in Biomedicine. 2007;88:283–294.
12. Chen H., Wang Y., Wang H. et al. Towards a semantic web of relational databases: a practical semantic toolkit and an in-use case from traditional Chinese medicine. Proceeding of the 5th international conference on The Semantic Web (ISWC '06); 2006; pp. 750–763.
13. International program of scientific research in Chinese image medicine and Zhong Yuan Qigong for 2017-2023 [Electronic source]. On-line mode: https://kundawell.com/ru/mezhdunarodnaya-programmanauchnykh-issledovanij-kitajskoj-imidzh-meditsiny-i-chzhun-yuan-tsigun-na-2017-2023-god, free access (date of access: 22.11.2016).
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1. Barnes P. M., Bloom B., Nahin R. CDC National Health Statistics Report #12. The Use of Complementary and Alternative Medicine in the United States. Findings from the 2007 National Health Interview Survey (NHIS) conducted by the National Center for Complementary and Alternative Medicine (NCCAM) and the National Center for Health Statistics. December 2008. http://nccam.nih.gov/ news/camstats/2007/cam-survey_fs1.htm Accessed November 5, 2011, vilnyi (Date of appeal:23.11.2016)
2. Ananth S. 2010 Complementary and Alternative Medicine Survey of Hospitals: Summary of Results.Health Forum (American Hospital Association) and the Samueli Institute. September2011.http://www.siib.org/news/2468-SIIB/version/default/part/AttachmentData/data/ CAM%20Survey%20FINAL.pdf Accessed December 11, 2011.
3. Guarneri E., Horrigan B., Pechura C. The Efficacy and Cost Effectiveness of Integrative Medicine: A Review of the Medical and Corporate Literature. Explore: The Journal of Science and Healing. 2010; 5:308–312.
4. Maizes V., Rakel D., Niemiec C. Integrative medicine and patient-centered care. Explore: The Journal of Science and Healing.2009;5(5):277–89.
5. Horrigan B. What is Integrative Medicine? Published by The Bravewell Collaborative; 2010.http://www.bravewell.org/integrative_medicine/what_is_IM Accessed November 6,2011, vilnyi (Date of appeal: 23.11.2016).
6. Wang Y., Zhonghua Y., Jiang Y., Liu Y., Chen L., Liu Y. A Framework and Its Empirical Study of Automatic Diagnosis of Traditional Chinese Medicine Utilizing Raw Free-text Clinical Records.Journal of Biomedical Informatics. 2012;45(2):210–223. doi:10.1016/j.jbi.2011.10.010.
7. Wang H. A computerized diagnostic model based on naive bayesian classifier in traditional chinese medicine. Proceedings of the 1st International Conference on BioMedical Engineering and Informatics (BMEI '08); May 2008; IEEE; pp. 474–477.
8. Wang X, Qu H, Liu P, Cheng Y. A self-learning expert system for diagnosis in traditional Chinese medicine. Expert Systems with Applications. 2004;26(4):557–566.
9. Huang M-J, Chen M-Y. Integrated design of the intelligent webbased Chinese Medical Diagnostic System (CMDS)-systematic development for digestive health. Expert Systems with Applications.2007;32(2):658–673.
10. Mao Y, Yin A. Ontology modeling and development for Traditional Chinese Medicine. Proceedings of the 2nd International Conference on Biomedical Engineering and Informatics (BMEI '09); October 2009; IEEE; pp. 1–5.
11. Lukman S., He Y., Hui S. C. Computational methods for traditional Chinese medicine: a survey. Computer Methods and Programs in Biomedicine. 2007;88:283–294.
12. Chen H., Wang Y., Wang H. et al. Towards a semantic web of relational databases: a practical semantic toolkit and an in-use case from traditional Chinese medicine. Proceeding of the 5th international conference on The Semantic Web (ISWC '06); 2006; pp. 750–763.
13. International program of scientific research in Chinese image medicine and Zhong Yuan Qigong for 2017-2023 [Electronic source]. On-line mode: https://kundawell.com/ru/mezhdunarodnaya-programmanauchnykh-issledovanij-kitajskoj-imidzh-meditsiny-i-chzhun-yuan-tsigun-na-2017-2023-god, free access (date of access: 22.11.2016).
14. WHO strategy for traditional medicine for 2014-2023 [Electronic source] – 2013, 72 p, On-line mode: http://www.who.int/medicines/publications/traditional/ trm_strategy14_23/ru/, free access (date of access: 20.11.2016).
15. State enterprise "The Committee on traditional and alternative Medicine of the Ministry of Health of Ukraine" [Electronic source]: website of MHU, Online mode: http://moz.gov.ua/ua/portal/ oth_narmed.html, free access (date of access: 21.11.2016).
 
Rights © Національний університет „Львівська політехніка“, 2017
© Lupenko S. A., Orobchuk O. R., Vakulenko D. V., Sverstyuk A. S., Horkunenko A. B., 2017
 
Format 10-19
10
application/pdf
image/png
 
Coverage Львів
 
Publisher Видавництво Львівської політехніки