Software engineering's role in visualizing large data as medical datasets

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Although both 'information visualization' and ‘software engineering visualization' are data collection operations, their motivations are clearly distinct. The visualization of software engineering integrates the original design modules and identifies the connections between the main components. The purpose of software engineering is to develop high-quality programs and create appropriate work. The goal of visualization is to get insight into many components of a process we are interested in, such as a scientific simulation or a real-world process, using interactive graphs. Medical imaging techniques are used to detect and comprehend illness progression in the human body. To be able to make a diagnosis concerning it. In health centers and hospitals, managing vast collections of medical pictures is a challenge. Because the image database has grown in size over the last year, meaningful information is needed to assist the specialist in assessing the patient's condition. In this review, we will highlight some of the techniques that we use in data analysis.

     

     

     


  • Keywords


    Data; Data Visualization; Software Engineering; Medical Imaging.

  • References


      [1] Safa A. Najim and Mansor W. A., Hybrid Visualization of the Medical Images Data Sets. International Journal of Computer Application 136 (8), 2016. https://doi.org/10.5120/ijca2016908617.

      [2] Safa A.Najim , Najim A.A., Lim I.S. and Saeed M., Parallel Faithful Dimensionality Reduction To Enhance The Visualization Of Remote Sensing Imagery. Neurocomputing . 168, pp:560-565, 2015. https://doi.org/10.1016/j.neucom.2015.05.071.

      [3] A. Cassedy, A. Parle-McDermott, and R. O’Kennedy, “Virus Detection: A Review of the Current and Emerging Molecular and Immunological Methods,” Front. Mol. Biosci., vol. 8, pp. 1–36, 2021, https://doi.org/10.3389/fmolb.2021.637559.

      [4] L. Herrero-Uribe, “Viruses, definitions and reality,” Rev. Biol. Trop., vol. 59, no. 3, pp. 993–998, 2011, https://doi.org/10.15517/rbt.v0i0.3372.

      [5] L. K. Borkenhagen, M. W. Allen, and J. A. Runstadler, “Influenza virus genotype to phenotype predictions through machine learning: a systematic review: Computational Prediction of Influenza Phenotype,” Emerg. Microbes Infect., vol. 10, no. 1, pp. 1896–1907, 2021, https://doi.org/10.15517/rbt.v0i0.3372.

      [6] H. BJURSTEDT, “Respiratory system.,” Annu. Rev. Physiol., vol. 19, pp. 151–174, 1957, https://doi.org/10.1146/annurev.ph.19.030157.001055.

      [7] T. Apprentice et al., “Upper & Lower Respiratory System Advice to Anesthetists : Lose anything you like – but NEVER-EVER lose your patient ’ s airway !,” pp. 1–4, 2021.

      [8] J. S. Kutter, M. I. Spronken, P. L. Fraaij, R. A. Fouchier, and S. Herfst, Transmission routes of respiratory viruses among humans, vol. 28, no. February 2018. 2018. https://doi.org/10.1016/j.coviro.2018.01.001.

      [9] E. S. Bailey et al., “The continual threat of influenza virus infections at the human-animal interface: What is new from a one health perspective?,” Evol. Med. Public Heal., vol. 2018, no. 1, pp. 192–198, 2018, https://doi.org/10.1093/emph/eoy013.

      [10] S. Law, A. W. Leung, and C. Xu, “Severe acute respiratory syndrome (SARS) and coronavirus disease-2019 (COVID-19): From causes to preventions in Hong Kong,” Int. J. Infect. Dis., vol. 94, no. January 2020, pp. 156–163, 2020, https://doi.org/10.1016/j.ijid.2020.03.059.

      [11] F. Fleck, “How SARS changed the world in less than six months.,” Bull. World Health Organ., vol. 81, no. 8, pp. 625–626, 2003.

      [12] D. Malvy, A. K. McElroy, H. de Clerck, S. Günther, and J. van Griensven, “Ebola virus disease,” Lancet, vol. 393, no. 10174, pp. 936–948, 2019, https://doi.org/10.1016/S0140-6736(18)33132-5.

      [13] Z. A. Memish, S. Perlman, M. D. Van Kerkhove, and A. Zumla, “Middle East respiratory syndrome,” Lancet, vol. 395, no. 10229, pp. 1063–1077, 2020, https://doi.org/10.1016/S0140-6736(19)33221-0.

      [14] K. Y. Lin et al., “Hepatitis A virus infection and hepatitis A vaccination in human immunodeficiency virus-positive patients: A review,” World J. Gastroenterol., vol. 23, no. 20, pp. 3589–3606, 2017, https://doi.org/10.3748/wjg.v23.i20.3589.

      [15] S. Schillie et al., “Prevention of hepatitis B virus infection in the United States: Recommendations of the advisory committee on immunization practices,” MMWR Recomm. Reports, vol. 67, no. 1, pp. 1–31, 2018, https://doi.org/10.15585/mmwr.rr6701a1.

      [16] Z. Al Kanaani, S. Mahmud, S. P. Kouyoumjian, and L. J. Abu-Raddad, “The epidemiology of hepatitis C virus in Pakistan: Systematic review and meta-analyses,” R. Soc. Open Sci., vol. 5, no. 4, pp. 1–16, 2018, https://doi.org/10.1098/rsos.180257.

      [17] B. M. Laksono, R. D. de Vries, W. P. Duprex, and R. L. de Swart, “Measles pathogenesis, immune suppression and animal models,” Curr. Opin. Virol., vol. 41, pp. 31–37, 2020, https://doi.org/10.1016/j.coviro.2020.03.002.

      [18] P. Kaaijk et al., “A Third Dose of Measles-Mumps-Rubella Vaccine to Improve Immunity against Mumps in Young Adults,” J. Infect. Dis., vol. 221, no. 6, pp. 902–909, 2020, https://doi.org/10.1093/infdis/jiz188.

      [19] G. A. Cornia, “Overview of the Impact and Best Practice Responses in Favour of Children in a World Affected by HIV / AIDS,” AIDS, Public Policy and Child Well-being, no. June, pp. 1–33, 2002.

      [20] HIV.gov, “What Are HIV and AIDS ? How Do I Know If I,” p. 19, 2020, [Online]. Available: https://www.hiv.gov/hiv-basics/overview/about-hiv-and-aids/what-are-hiv-and-aids.

      [21] S. E. Park, “Epidemiology, virology, and clinical features of severe acute respiratory syndrome-coronavirus-2 (SARS-COV-2; Coronavirus Disease-19),” Korean J. Pediatr., vol. 63, no. 4, pp. 119–124, 2020, https://doi.org/10.3345/cep.2020.00493.

      [22] D. Kumar, “Corona Virus: A Review of COVID-19,” Eurasian J. Med. Oncol., vol. 4, no. 2, pp. 8–25, 2020, doi: 10.14744/ejmo.2020.51418.

      [23] M. Naveed et al., “Review of potential risk groups for coronavirus disease 2019 (COVID-19),” New Microbes New Infect., vol. 41, no. 222, p. 100849, 2021, https://doi.org/10.14744/ejmo.2020.51418.

      [24] D. Gathering, “COVID-19 Data Analytics,” pp. 1–11, 2021.

      [25] Safa A. Najim, Information Visualization by Dimensionality Reduction: A Review. Journal of Advanced Computer Science and Technology. 3(2), pp:101-112, 2014. https://doi.org/10.14419/jacst.v3i2.2746.

      [26] J. P. Cunningham and Z. Ghahramani, “Linear dimensionality reduction: Survey, insights, and generalizations,” J. Mach. Learn. Res., vol. 16, pp. 2859–2900, 2015.

      [27] A. C. Telea, Data Visualization: Principles and Practice, Second Edition. 2014. https://doi.org/10.1201/b17217.

      [28] Safa A. Najim and Lim I.S., Trustworthy Dimension Reduction for Visualization Different Data Sets, Information Science. 278, pp:206-220, 2014 https://doi.org/10.1016/j.ins.2014.03.048.

      [29] R. Articles, “Introduction to Dimensionality Reduction Last Updated :,” pp. 1–6, 2021. https://doi.org/10.1201/9781003190554-1.

      [30] Z. H. Majeed, B. Y. Ahmed, and S. A. Najim, “Specifying the visualizing type of multi-dimensional data,” J. Phys. Conf. Ser., vol. 1294, no. 3, 2019, https://doi.org/10.1088/1742-6596/1294/3/032033.

      [31] B. Y. Ahmed, Z. H. Majeed, and S. A. Najim, “Applying the visualization technique to solve the human color blindness,” AIP Conf. Proc., vol. 2290, no. December, 2020, https://doi.org/10.1063/5.0027395.

      [32] B. Y., S. A., and W. A., “Role of Software Engineering in Visualizing Large Volume of Hyperspectral and Medical Data Sets,” Int. J. Comput. Appl., vol. 176, no. 9, pp. 1–5, 2017, https://doi.org/10.5120/ijca2017915580.

      [33] Safa A. Najim and Lim I.S., Wittek P. and Jones M. FSPE: Visualisation of Hyperspectral Imagery Using Faithful Stochastic Proximity Embedding. IEEE Geoscience and Remote Science Letters. 12(1), pp:18-22, 2015 https://doi.org/10.1109/LGRS.2014.2324631.

      [34] Safa A. Najim and Lim I.S. (2014). Visualization of Remote Sensing Imagery by Sequential Dimensionality Reduction on Graphics Processing Unit. In Proceedings of the 5th International Conference on Information Visualization Theory and Applications (IVAPP 2014), , pages 71-79, Lisbon, Portugal, 5-8 January.


 

View

Download

Article ID: 31984
 
DOI: 10.14419/jacst.v10i1.31984




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.