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TrackARTI: Akut Solunum Yolu Enfeksiyonu Geçiren Çocuk Hastalar için Mobil Sağlık Takip Sistemi

Year 2018, , 73 - 94, 30.06.2018

Duygu Celik Ertugrul , Metin Zontul Yiltan Bitirim Gokhan Taymaz

https://doi.org/10.29002/asujse.400551

Abstract

Bu
çalışmada, 0-6 yaş grubu çocuk hastalar için, Akut Solunum Yolu Enfeksiyonları
(ASYE) hastalıklarına yönelik düşünülmüş bir sistem olan Uzaktan Medikal Takip Mobil
Sistemini (TrackARTI) tanıtılmıştır. Bu sistemin temel amacı, ASYE
dönemlerindeki medikal vakalara ait gerçek verileri çeşitli ortamlarda anlık
olarak toplamak, istenildiğinde görüntülemek, makinelerin anlayacağı şekilde
yapısal formda saklamak, sistemin kendi çıkarım mekanizması sayesinde yorumlayıp
kişiye özgü medikal önermeler yapmak veya çıkarsanmış ilgili yeni verileri
sunmaktır. Sistemin temel kullanıcı grubu pediatri uzmanları ve ailelerdir. Bu
sistemin ilk paydaşları ebeveynler, çocuk hastalar, pediatri uzmanları ve
ilgili sağlık personelidir. Önerilen TrackARTI sistemi akıllı M-Sağlık
sistemlerine bir örnek teşkil etmektedir. Sistemin, TrackARTI Yapay Zekâ Çıkarım
Mekanizması ve TrackARTI Mobil Uygulaması olmak üzere iki temel çıktısı
bulunmaktadır. Ayrıca, Yapay Zekâ Çıkarım Mekanizması kendi içinde iki temel
çalışmayı içermektedir; 1) Medikal Görüntü İşleme tabanlı çıkarımlar ve 2)
Anlamsal Veb Tabanlı Çıkarım Kuralları yoluyla yeni veriler ve önermelerin çıkarsaması.

Keywords

Akıllı Mobil Sistemler Akut Solunum Yolu Enfeksiyon İzleme Sistemi Anlamsal Veb Ontoloji Bilgi Tabanı e-Sağlık m-Sağlık Çıkarım

References

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  • [3] Mohammadzadeh N, Safdari R. Patient Monitoring in Mobile Health: Opportunities and Challenges, Medical Archives. (2014); 68(1):57-60. doi:10.5455/medarh.2014.68.57-60.
  • [4] Lee J, Rho MJ. Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users, HealthCare Informatics Research. (2013); 19(3):167-176. doi:10.4258/hir.2013.19.3.167.
  • [5] Free C, Phillips G, Galli L, et al. The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review, Cornford T, ed. PLoS Medicine. 2013; 10(1):e1001362. doi:10.1371/journal.pmed.1001362.
  • [6] Davey S, Davey A, Singh JV. Mobile-Health Approach: A Critical Look on Its Capacity to Augment Health System of Developing Countries, Indian Journal of Community Medicine : Official Publication of Indian Association of Preventive & Social Medicine. (2014); 39(3):178-182. doi:10.4103/0970-0218.137160.
  • [7] Petersen C, DeMuro P. Legal and Regulatory Considerations Associated with Use of Patient-Generated Health Data from Social Media and Mobile Health (mHealth) Devices, Applied Clinical Informatics. (2015); 6(1):16-26. Doi: 10.4338/ACI-2014-09-R-0082.
  • [8] Klasnja P, Pratt W. Healthcare in the Pocket: Mapping the Space of Mobile-Phone Health Interventions, Journal of Biomedical Informatics. (2012); 45(1):184-198. doi:10.1016/j.jbi.2011.08.017.
  • [9] Germanakos P, Mourlas C, Samaras G. A mobile agent approach for ubiquitous and personalized eHealth information systems, In: Proceedings of the Workshop on ‘Personalization for e-Health’ of the 10th International Conference on User Modeling (UM’05); (2005). p. 67–70.
  • [10] Baysari MT, Westbrook JI. Mobile Applications for Patient-centered Care Coordination: A Review of Human Factors Methods Applied to their Design, Development, and Evaluation, Yearbook of Medical Informatics. (2015); 10(1):47-54. DOI: 10.15265/IY-2015-011.
  • [11] Research-2-Guidance. mHealth App Developer, Economics 2014. Germany: research2guidance; (2014).
  • [12] Akşit S. Akut Solunum Yolu Enfeksiyonları - 1, Ege Üni. Tip Fak. Çocuk Sağlığı ve Hastalıkları, STED 2002, (2002), 11(4), 132-135, http://www.ttb.org.tr/STED/sted0402/akut.pdf, Last accessed: 30 April 2017.
  • [13] Koturoğlu, G., Çocuklarda Üst Solunum Yolu Enfeksiyonları, Upper Respiratory Tract Infections in Children. The Journal of Pediatric Research, (2015);2(2):62-5. DOI: 10.4274/jpr.65365, http://cms.galenos.com.tr/FileIssue/16/820/article/62-65.pdf, Last accessed: 30 April 2017.
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  • [32] OWL 2.0, OWL 2 Web Ontology Language Document Overview, W3C Recommendation, Online: http://www.w3.org/TR/owl2-overview/, 11 December 2012, Last accessed: 30 April 2017.
  • [33] Musen, M.A. Protégé ontology editor. Encyclopedia of Systems Biology, (2013), 1763-1765.
  • [34] Horrocks, I., Patel-Schneider, P. F., Boley, H., Tabet, S., Grosof, B., & Dean, M. SWRL: A semantic web rule language combining OWL and RuleML.W3C Member submission, 21, 79. (2004), http://www.w3.org/Submission/SWRL/
  • [35] Sirin E., Parsia B., Grau B.C., Kalyanpur A., Katz Y. Pellet: A practical OWL-DL reasoner. Journal of Web Semantics. (2007); 5(2).
  • [36] Horridge M., Bechhofer S. The OWL API: A Java API for Working with OWL 2 Ontologies. In OWLED 2009, 6th OWL Experienced and Directions Workshop, Chantilly, Virginia, (2009).
  • [37] Java Script Object Notation (JSON). http://www.json.org/json-tr.html. Last accessed: 30 May 2017.
  • [38] Richardson L., Ruby S. RESTful Web Services. Web Services for the Real World. O'Reilly Media. ISBN: 978-0-596-52926-0. 2007; 454.
  • [39] Ertugrul, D. Ç., Elçi, A., & Bitirim, Y. An Intelligent Tracking System: Application to Acute Respiratory Tract Infection (TrackARTI). In Computer Software and Applications Conference (COMPSAC’17), IEEE 41st Annual, (2017), Vol. 2, pp. 137-142.

TrackARTI: Mobile Health Tracking System for Pediatric Patients with Acute Respiratory Tract Infection

Year 2018, , 73 - 94, 30.06.2018

Duygu Celik Ertugrul , Metin Zontul Yiltan Bitirim Gokhan Taymaz

https://doi.org/10.29002/asujse.400551

Abstract

This study
introduces the Remote Medical Tracking Mobile System (TrackARTI) which guides
parents or health expert users in the treatment of Acute Respiratory Tract
Infections (ASYE) diseases for children aged 0-6 years. The main purpose of
this system is to gather actual data belonging to the medical cases of ASYE
period in various environments instantly, to display them when requested, to
store them in structural form in order to understand by machines, to deduce the
data through its retrieval mechanism and to make personalized medical
suggestions or to present relevant new data inferred. The main user group of
the system is pediatric specialists and parents. The main stakeholders of this
system are parents, child patients, pediatric specialists and health personnel.
The proposed TrackARTI system is an example of intelligent M-Health systems.
The system has two basic outputs: TrackARTI Artificial Intelligence based
Inferencing Mechanism and TrackARTI Mobile Application. In addition, the
Artificial Intelligence based Inferencing Mechanism of the system involves two
main activities in itself; 1) Medical Image Processing based Inferencing and 2)
Semantic Web Based Inferencing of new medical data and suggestions through its
Inference Rules.

Keywords

Smart Mobile Systems Acute Respiratory Infection Monitoring System Semantic Web Ontology Knowledge Base e-Health m-Health Inferencing

References

  • [1] Cajita, M.I., Gleason, K.T. and Han, H.R. A systematic review of mHealth-based heart failure interventions. The Journal of cardiovascular nursing, (2016), 31(3), p.E10. doi:10.1089/tmj.2014.9997.
  • [2] Alepis E, Lambrinidis C. M-Health: supporting automated diagnosis and electronic health records, Springer Plus. (2013); 2:103. Doi: 10.1186/2193-1801-2-103.
  • [3] Mohammadzadeh N, Safdari R. Patient Monitoring in Mobile Health: Opportunities and Challenges, Medical Archives. (2014); 68(1):57-60. doi:10.5455/medarh.2014.68.57-60.
  • [4] Lee J, Rho MJ. Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users, HealthCare Informatics Research. (2013); 19(3):167-176. doi:10.4258/hir.2013.19.3.167.
  • [5] Free C, Phillips G, Galli L, et al. The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review, Cornford T, ed. PLoS Medicine. 2013; 10(1):e1001362. doi:10.1371/journal.pmed.1001362.
  • [6] Davey S, Davey A, Singh JV. Mobile-Health Approach: A Critical Look on Its Capacity to Augment Health System of Developing Countries, Indian Journal of Community Medicine : Official Publication of Indian Association of Preventive & Social Medicine. (2014); 39(3):178-182. doi:10.4103/0970-0218.137160.
  • [7] Petersen C, DeMuro P. Legal and Regulatory Considerations Associated with Use of Patient-Generated Health Data from Social Media and Mobile Health (mHealth) Devices, Applied Clinical Informatics. (2015); 6(1):16-26. Doi: 10.4338/ACI-2014-09-R-0082.
  • [8] Klasnja P, Pratt W. Healthcare in the Pocket: Mapping the Space of Mobile-Phone Health Interventions, Journal of Biomedical Informatics. (2012); 45(1):184-198. doi:10.1016/j.jbi.2011.08.017.
  • [9] Germanakos P, Mourlas C, Samaras G. A mobile agent approach for ubiquitous and personalized eHealth information systems, In: Proceedings of the Workshop on ‘Personalization for e-Health’ of the 10th International Conference on User Modeling (UM’05); (2005). p. 67–70.
  • [10] Baysari MT, Westbrook JI. Mobile Applications for Patient-centered Care Coordination: A Review of Human Factors Methods Applied to their Design, Development, and Evaluation, Yearbook of Medical Informatics. (2015); 10(1):47-54. DOI: 10.15265/IY-2015-011.
  • [11] Research-2-Guidance. mHealth App Developer, Economics 2014. Germany: research2guidance; (2014).
  • [12] Akşit S. Akut Solunum Yolu Enfeksiyonları - 1, Ege Üni. Tip Fak. Çocuk Sağlığı ve Hastalıkları, STED 2002, (2002), 11(4), 132-135, http://www.ttb.org.tr/STED/sted0402/akut.pdf, Last accessed: 30 April 2017.
  • [13] Koturoğlu, G., Çocuklarda Üst Solunum Yolu Enfeksiyonları, Upper Respiratory Tract Infections in Children. The Journal of Pediatric Research, (2015);2(2):62-5. DOI: 10.4274/jpr.65365, http://cms.galenos.com.tr/FileIssue/16/820/article/62-65.pdf, Last accessed: 30 April 2017.
  • [14] Cellscope, iPhone otoscope Project, http://mobihealthnews.com/17598/cellscope-smartphone-diagnostic-startup-raises-1m/, Last accessed: 30 April 2017.
  • [15] Brian Dolan, CellScope, smartphone diagnostic startup, raises $1M, June 11, 2012, http://www.mobihealthnews.com/17598/cellscope-smartphone-diagnostic-startup-raises-1m/, Last accessed: 30 April 2017.
  • [16] Magnetic iPhone and Android Lens Series, https://photojojo.com/awesomeness/cell-phone-lenses. Last accessed: 30 Jan 2016.
  • [17] Leng S, Tan R S, Tshun K, Chai C, Wang C, Ghista D, and Zhong L, The electronic stethoscope: Stethocloud, BioMedical Engineering OnLine. (2015); 14(1), 07, 66 pages. DOI:10.1186/s12938-015-0056-y
  • [18] Mobile Stethoscope, http://mobilestethoscope.com/, Last accessed 30 April 2017.
  • [19] 3M Littmann Range, http://www.littmann.com, Last accessed: 30 April 2017.
  • [20] Welch–Allyn Elite Electronic Stethoscope, Last accessed: http://www.welchallyn.com, Last accessed 30 April 2017.
  • [21] Cardionics E-scope II, http://www.cardionics.com, Last accessed: 30 April 2017.
  • [22] RijuvenCardioSleeve, http://rijuven.com/cardiosleeve.html Last accessed: 30 April 2017.
  • [23] Ekoscope, http://www.ekoscope.com/, Last accessed 30 April 2017.
  • [24] ViScope, http://www.cardionics.com/clinical-vi-scope.html, Last accessed: 30 April 2017.
  • [25] SensiCardiac, https://www.sensicardiac.com/, Last accessed: 30 April 2017.
  • [26] Thinklabs, http://www.thinklabs.com, Last accessed: 30 April 2017.
  • [27] VitaDock, http:// www. vitadock.com/ vitadock.html Last accessed: 30 April 2017.
  • [28] Berners-Lee T, Hendler J and Lassila O. The Semantic Web, Scientific American. May (2001); 29-37.
  • [29] Gruber, T. Ontology, Encyclopedia of Database Systems (Springer-Verlag). Liu, Ling; Özsu, M. Tamer, eds. ISBN 978-0-387-49616-0. http://tomgruber.org/writing/ontology-definition-2007.htm, (2008), Last accessed: 30 April 2017.
  • [30] Lassila O., Ralph R.S. Resource Description Framework (RDF), Model and Syntax. W3C Recommendation. https://www.w3.org/TR/WD-rdf-syntax-971002/. 10 February 1997, Last accessed: 30 April 2017.
  • [31] OWL, Web Ontology Language Overview, W3C Recommendation, Deborah L. McGuinness, Frank van Harmelen, Stanford University, Online: https://www.w3.org/TR/owl-features/, 10 February 2004, Last accessed: 30 April 2017.
  • [32] OWL 2.0, OWL 2 Web Ontology Language Document Overview, W3C Recommendation, Online: http://www.w3.org/TR/owl2-overview/, 11 December 2012, Last accessed: 30 April 2017.
  • [33] Musen, M.A. Protégé ontology editor. Encyclopedia of Systems Biology, (2013), 1763-1765.
  • [34] Horrocks, I., Patel-Schneider, P. F., Boley, H., Tabet, S., Grosof, B., & Dean, M. SWRL: A semantic web rule language combining OWL and RuleML.W3C Member submission, 21, 79. (2004), http://www.w3.org/Submission/SWRL/
  • [35] Sirin E., Parsia B., Grau B.C., Kalyanpur A., Katz Y. Pellet: A practical OWL-DL reasoner. Journal of Web Semantics. (2007); 5(2).
  • [36] Horridge M., Bechhofer S. The OWL API: A Java API for Working with OWL 2 Ontologies. In OWLED 2009, 6th OWL Experienced and Directions Workshop, Chantilly, Virginia, (2009).
  • [37] Java Script Object Notation (JSON). http://www.json.org/json-tr.html. Last accessed: 30 May 2017.
  • [38] Richardson L., Ruby S. RESTful Web Services. Web Services for the Real World. O'Reilly Media. ISBN: 978-0-596-52926-0. 2007; 454.
  • [39] Ertugrul, D. Ç., Elçi, A., & Bitirim, Y. An Intelligent Tracking System: Application to Acute Respiratory Tract Infection (TrackARTI). In Computer Software and Applications Conference (COMPSAC’17), IEEE 41st Annual, (2017), Vol. 2, pp. 137-142.
There are 39 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Research Article
Authors

Duygu Celik Ertugrul 0000-0003-1380-705X

Metin Zontul

Yiltan Bitirim

Gokhan Taymaz

Publication Date June 30, 2018
Submission Date March 2, 2018
Acceptance Date June 17, 2018
Published in Issue Year 2018

Cite

APA Celik Ertugrul, D., Zontul, M., Bitirim, Y., Taymaz, G. (2018). TrackARTI: Akut Solunum Yolu Enfeksiyonu Geçiren Çocuk Hastalar için Mobil Sağlık Takip Sistemi. Aksaray University Journal of Science and Engineering, 2(1), 73-94. https://doi.org/10.29002/asujse.400551

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