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Study of Annotations in e-health Domain

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Book cover Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living (ICOST 2018)

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Abstract

The efforts to computerize the medical record of a patient began in 1990. In the documents of this record, the healthcare professional practices the annotation activity. Most medical annotation systems are made to perform a specific task. As a result, we have dozens of medical annotation system that we sneak a fragmented image in the absence of generic classification for these. In this article, we try to present a unified image by classifying 30 medical annotation systems based on 5 generic criteria and the features offered by them. From these two classifications, we present our observation and the limits of these systems.

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References

  1. Storck, M., Krumm, R., Dugas, M.: ODMSummary: a tool for automatic structured comparison of multiple medical forms based on semantic annotation with the unified medical language system. PLoS One 11(10), e0164569 (2017)

    Article  Google Scholar 

  2. Segura, J., Sanchez-Garcia, R., Martinez, M., Cuenca-Alba, J., Tabas-Madrid, D., Sorzano, C.O.S., Carazo, J.M.: 3DBIONOTES v2. 0: a web server for the automatic annotation of macromolecular structures. Bioinformatics 33(22), 3655–3657 (2017)

    Article  Google Scholar 

  3. McKain, M.R., Hartsock, R.H., Wohl, M.M., Kellogg, E.A.: Verdant: automated annotation, alignment and phylogenetic analysis of whole chloroplast genomes. Bioinformatics 33(1), 130–132 (2016)

    Article  Google Scholar 

  4. Lavrič, P., Bohak, C., Marolt, M.: Collaborative view-aligned annotations in web-based 3D medical data visualization. In: 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 259–263. IEEE, May 2017

    Google Scholar 

  5. Vizza, P., Guzzi, P.H., Veltri, P., Cascini, G.L., Curia, R., Sisca, L.: GIDAC: a prototype for bioimages annotation and clinical data integration. In: 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1028–1031. IEEE, December 2016

    Google Scholar 

  6. Hart, S.N., Duffy, P., Quest, D.J., Hossain, A., Meiners, M.A., Kocher, J.P.: VCF-Miner: GUI-based application for mining variants and annotations stored in VCF files. Brief. Bioinform. 17(2), 346–351 (2016)

    Article  Google Scholar 

  7. Banerjee, I., Patanè, G., Spagnuolo, M.: SemAnatomy3D: annotation of patient-specific anatomy (2015)

    Google Scholar 

  8. Marrast, P.: Equipement informatique des annotations et des pratiques d’écriture professionnelles: une étude ancrée pour l’organisation des soins en cancérologie. Doctoral dissertation, Université de Toulouse, Université Toulouse III-Paul Sabatier (2015)

    Google Scholar 

  9. Deghou, S., Zeller, G., Iskar, M., Driessen, M., Castillo, M., van Noort, V., Bork, P.: CART—a chemical annotation retrieval toolkit. Bioinformatics 32(18), 2869–2871 (2016)

    Article  Google Scholar 

  10. Clark, T., Ciccarese, P.N., Goble, C.A.: Micropublications: a semantic model for claims, evidence, arguments and annotations in biomedical communications. J. Biomed. Semant. 5(1), 28 (2014)

    Article  Google Scholar 

  11. Kocher, J.P.A., Quest, D.J., Duffy, P., Meiners, M.A., Moore, R.M., Rider, D., Dinu, V.: The Biological Reference Repository (BioR): a rapid and flexible system for genomics annotation. Bioinformatics 30(13), 1920–1922 (2014)

    Article  Google Scholar 

  12. Moreira, D.A., Hage, C., Luque, E.F., Willrett, D., Rubin, D.L.: 3D markup of radiological images in ePAD, a web-based image annotation tool. In: 2015 IEEE 28th International Symposium on Computer-Based Medical Systems (CBMS), pp. 97–102. IEEE, June 2015

    Google Scholar 

  13. Roy, S., Brown, M.S., Shih, G.L.: Visual interpretation with three-dimensional annotations (VITA): three-dimensional image interpretation tool for radiological reporting. J. Digit. Imaging 27(1), 49–57 (2014)

    Article  Google Scholar 

  14. Pérez-Pérez, M., Glez-Peña, D., Fdez-Riverola, F., Lourenço, A.: Marky: a lightweight web tracking tool for document annotation. In: Saez-Rodriguez, J., Rocha, M., Fdez-Riverola, F., De Paz Santana, J. (eds.) PACBB 2014, pp. 269–276. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07581-5_32

    Chapter  Google Scholar 

  15. Tian, L., Zhang, W., Bikakis, A., Wang, H., Yu, Y., Ni, Y., Cao, F.: MeDetect: a LOD-based system for collective entity annotation in biomedicine. In: IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013, vol. 1, pp. 233–240. IEEE, November 2013

    Google Scholar 

  16. López-Fernández, H., Reboiro-Jato, M., Glez-Peña, D., Aparicio, F., Gachet, D., Buenaga, M., Fdez-Riverola, F.: BioAnnote: a software platform for annotating biomedical documents with application in medical learning environments. Comput. Methods Prog. Biomed. 111(1), 139–147 (2013)

    Article  Google Scholar 

  17. Zhou, J., Lamichhane, S., Sterne, G., Ye, B., Peng, H.: BIOCAT: a pattern recognition platform for customizable biological image classification and annotation. BMC Bioinform. 14(1), 291 (2013)

    Article  Google Scholar 

  18. Iakovidis, D.K., Goudas, T., Smailis, C., Maglogiannis, I.: Ratsnake: a versatile image annotation tool with application to computer-aided diagnosis. Sci. World J. (2014)

    Google Scholar 

  19. Navarro-Galindo, J.L., Samos, J.: The FLERSA tool: adding semantics to a web content management system. Int. J. Web Inf. Syst. 8(1), 73–126 (2012)

    Article  Google Scholar 

  20. Federico, L., Néstor, D., Oscar, C.: Smitag: a social network for semantic annotation of medical images. In: 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), pp. 1–7. IEEE, October 2012

    Google Scholar 

  21. Mata, C., Oliver, A., Torrent, A., Marti, J.: MammoApplet: an interactive Java applet tool for manual annotation in medical imaging. In: 2012 IEEE 12th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 34–39. IEEE, November 2012

    Google Scholar 

  22. https://nit.felk.cvut.cz/drupal/projects/medical-annotation-tool-medat

  23. David, R., Graf, N., Karatzanis, I., Stenzhorn, H., Manikis, G.C., Sakkalis, V., et al.: Clinical evaluation of DoctorEye platform in nephroblastoma. In: 2012 5th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation-The TUMOR Project Workshop (IARWISOCI), pp. 1–4. IEEE, October 2012

    Google Scholar 

  24. Möller, M., Regel, S., Sintek, M.: RadSem: semantic annotation and retrieval for medical images. In: Aroyo, L., et al. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 21–35. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02121-3_6

    Chapter  Google Scholar 

  25. http://anote-project.org

  26. Rubin, D.L., Rodriguez, C., Shah, P., Beaulieu, C.: iPad: semantic annotation and markup of radiological images. In: AMIA Annual Symposium Proceedings, vol. 2008, p. 626. American Medical Informatics Association (2008)

    Google Scholar 

  27. Liu, D., Cao, Y., Kim, K.H., Stanek, S., Doungratanaex-Chai, B., Lin, K., et al.: Arthemis: annotation software in an integrated capturing and analysis system for colonoscopy. Comput. Methods Progr. Biomed. 88(2), 152–163 (2007)

    Article  Google Scholar 

  28. Bringay, S.: Les annotations pour supporter la collaboration dans le dossier patient électronique

    Google Scholar 

  29. Mrozowski, P., Kononowicz, A.A.: DSS-MEDA a web-based framework for video annotation in medical e-learning. Bio-Algorithms Med-Systems 2(4), 51–56 (2006)

    Google Scholar 

  30. http://www.si.washington.edu/content/annoteimage

  31. Kalboussi, A., Omheni, N., Mazhoud, O., Kacem, A.H.: How to organize the annotation systems in human-computer environment: study, classification and observations. In: Abascal, J., Barbosa, S., Fetter, M., Gross, T., Palanque, P., Winckler, M. (eds.) INTERACT 2015. LNCS, vol. 9297, pp. 115–133. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-22668-2_11

    Chapter  Google Scholar 

  32. Charlet, J., Bachimont, B., Brunie, V., El Kassar, S., Zweigenbaum, P., Boisvieux, J.F.: Hospitexte: towards a document-based hypertextual electronic medical record. In: Proceedings of the AMIA Symposium, p. 713. American Medical Informatics Association (1998)

    Google Scholar 

  33. Mille, D.: Modèles et outils logiciels pour l’annotation sémantiquede documentspédagogiques. Doctoral dissertation, Université Joseph-Fourier-Grenoble I (2005)

    Google Scholar 

  34. Caussanel, J., Cahier, J.P., Zacklad, M., Charlet, J.: Les Topic Maps sont-ils un bon candidat pour l’ingénierie du Web Sémantique? In: Actes des 13e journées francophones d’ingénierie des connaissances (IC). Prix AFIA de la meilleure présentation (2002)

    Google Scholar 

  35. Azouaou, F.: Modèles et outils d’annotations pour une mémoire personnelle de l’enseignant. Doctoral dissertation, Université Joseph-Fourier-Grenoble I (2006)

    Google Scholar 

  36. Dublin Core Metadata Initiative: Dublin core metadata element set, version 1.1 (2012)

    Google Scholar 

  37. Kahan, J., Koivunen, M.R., Prud’Hommeaux, E., Swick, R.R.: Annotea: an open RDF infrastructure for shared web annotations. Comput. Netw. 39(5), 589–608 (2002)

    Article  Google Scholar 

  38. Kalboussi, A., Mazhoud, O., Kacem, A.H.: Comparative study of web annotation systems used by learners to enhance educational practices: features and services. Int. J. Technol. Enhanced Learn. (IJTEL) 8(2), 129–150 (2016)

    Article  Google Scholar 

  39. Kalboussi, A., Mazhoud, O., Kacem, A.H.: Functionalities provided by annotation systems for learners in educational context: an overview. Int. J. Emerg. Technol. Learn. (IJET) 11(2), 4–11 (2016)

    Article  Google Scholar 

  40. Kalboussi, A., Mazhoud, O., Omheni, N., Kacem, A.H.: A new annotation system based on a semantic analysis of learner’s annotative activity to invoke web services. Int. J. Metadata Semant. Ontol. 9(4), 350–370 (2014)

    Article  Google Scholar 

  41. Kalboussi, A., Mazhoud, O., Kacem, A.H.: Annotative activity as a potential source of web service invocation. In: Proceedings of the 9th International Conference on Web Information Systems and Technologies (WEBIST 2013), pp. 288–292. SciTePress (2013)

    Google Scholar 

  42. https://www.w3.org/TR/mediaont-10/

  43. Kalboussi, A., Omheni, N., Mazhoud, O., Kacem, A.H.: An interactive annotation system to support the learner with web services assistance. In: Proceedings of the 15th IEEE International Conference on Advanced Learning Technologies (ICALT 2015), pp. 409–410. IEEE (2015)

    Google Scholar 

  44. Kalboussi, A., Mazhoud, O., Hadj Kacem, A., Omheni, N.: A formal model of learner’s annotations dedicated to web services invocation. In: Proceedings of the 21st International Conference on Computers in Education (ICCE 2013), pp. 166–169. APSCE (2013)

    Google Scholar 

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Author information

Authors and Affiliations

  1. ReDCAD Research Laboratory and Faculty of Economics and Management, University of Sfax, Sfax, Tunisia

    Khalil Chehab & Ahmed Hadj Kacem

  2. Higher Institute of Computer Science and Management, University of Kairouan, Kairouan, Tunisia

    Anis Kalboussi

  3. ReDCAD Research Laboratory, University of Sfax, Sfax, Tunisia

    Anis Kalboussi

Authors
  1. Khalil Chehab
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  2. Anis Kalboussi
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  3. Ahmed Hadj Kacem
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Corresponding author

Correspondence to Khalil Chehab .

Editor information

Editors and Affiliations

  1. Institut Mines Télécom Paris/CNRS, Paris, France

    Mounir Mokhtari

  2. Universite de Sherbrooke, Sherbrooke, Québec, Canada

    Bessam Abdulrazak

  3. Digital Research Centre of Sfax, Sfax, Tunisia

    Hamdi Aloulou

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Chehab, K., Kalboussi, A., Kacem, A.H. (2018). Study of Annotations in e-health Domain. In: Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds) Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living. ICOST 2018. Lecture Notes in Computer Science(), vol 10898. Springer, Cham. https://doi.org/10.1007/978-3-319-94523-1_17

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  • DOI: https://doi.org/10.1007/978-3-319-94523-1_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94522-4

  • Online ISBN: 978-3-319-94523-1

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