Utilization of Deep Learning Models in Medical Industries

AUTHORS

N. Thirupathi Rao,Department of Computer Science and Engineering, Vignan’s Institute of Information Technology (A), Visakhapatnam-530049, AP, India
Debnath Bhattacharyya,Department of Computer Science and Engineering, Vignan’s Institute of Information Technology (A), Visakhapatnam-530049, AP, India

ABSTRACT

Deep learning is the rapidly growing technology in the field of almost all recent technologies in the market. With the successful application of deep learning in almost all the recent technologies, the growth in all the areas was splendid. The growth in those areas has crossed the expectations of the scientists. Recently, the application of deep learning in the areas of medicine and pharma is growing in recent times in a rapid fast. In the current paper, the authors represent the seven applications or areas in the field of medicine and pharma where the applications of deep learning were implementing and good results are obtaining.

 

KEYWORDS

Deep learning, medicine, pharma, supervised learning, unsupervised learning, artificial intelligence, artificial neural networks.

REFERENCES

[1]     https://www.techemergence.com/machine-learning-in-pharma-medicine/ [Last accessed on 12-10-(2018)].
[2]     https://www.igeahub.com/2018/08/28/evaluation-of-clinical-trial-costs-and-barriers-to-drug-development/ [Last accessed on 12-10-(2018)].
[3]     Gulshan, V., Peng, L., Coram, M., Stumpe, M. C., Wu, D., Narayanaswamy, A., et al. “Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs”. Jama, Vol.316, No.22, pp.2402-2405. (2016) doi:10.1001/jama.2016.17216(CrossRef)(Google Scholar)
[4]     Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). “Dermatologist-level classification of skin cancer with deep neural networks. Nature”, Vol.542, pp.115-118.DOI: 10.1038/nature21056(CrossRef)(Google Scholar)
[5]     Salvador Garc´ıa, Juli´an Luengo, and Francisco Herrera. “Data pre-processing in data mining”. Springer, (2015). DOI: 10.1007/978-3-319-10247-4(CrossRef)(Google Scholar)
[6]     Veronica Bol´on-Canedo, Noelia S´anchez-Maro˜no, and Amparo Alonso-Betanzos. “Feature Selection for High-Dimensional Data”. Springer, (2015).
[7]     Emilie Renard, Andrew E. Teschendorff, and Pierre-Antoine Absil. “Spatiotemporal ICA improves the selection of differentially expressed genes”. In European Symposium on Artificial Neural Networks, Computational Intelligence and Deep learning, (2016).
[8]     Borja Seijo-Pardo, Ver´onica Bol´on-Canedo, and Amparo Alonso-Betanzos. “Using a feature selection ensemble on DNA microarray datasets”. In European Symposium on Artificial Neural Networks, Computational Intelligence and Deep learning, (2016).
[9]     Luisa S. Brea, Noelia Barreira, Noelia S´anchez, Antonio Mosquera, Carlos Garc´ıa-Res´ua, and Eva Yebra-Pimentel. “On the analysis of feature selection techniques in a conjunctival hyperemia grading framework”. In European Symposium on Artificial Neural Networks, Computational Intelligence and Deep learning,(2016).
[10]  Luis Gon¸calves, Jorge Novo, and Aur´elio Campilho. “Feature definition, analysis and selection for lung nodule classification in chest computerized tomography images”. In European Symposium on Artificial Neural Networks, Computational Intelligence and Deep learning, (2016).
[11]  Soma Prathibha, Latha B, Suamthi G, “Particle swarm optimization based workflow scheduling for medical applications in cloud”, Biomedical Research”, (2017), Special Issue: S380-S385, pp.380-385.
[12]  A Blog entitled Digital health, Virtual Hospital at A Conference on Virtual Clinical Trials under the website of Medically Home during May, 2019. [Last Accessed on 10-06-(2019)]
[13]  Image collected from the Wikipedia address entitled “https://en.wikipedia.org/wiki/Proton_therapy”. [Last Accessed on 10-06-(2019)]

CITATION

  • APA:
    Rao,N.T.& Bhattacharyya,D.(2019). Utilization of Deep Learning Models in Medical Industries. Asia-Pacific Journal of Neural Networks and Its Applications, 3(1), 9-16. http://dx.doi.org/10.21742/AJNNIA.2019.3.1.02
  • Harvard:
    Rao,N.T.and Bhattacharyya,D.(2019). "Utilization of Deep Learning Models in Medical Industries". Asia-Pacific Journal of Neural Networks and Its Applications, 3(1), pp.9-16. doi:http://dx.doi.org/10.21742/AJNNIA.2019.3.1.02
  • IEEE:
    [1]N.T.Raoand D.Bhattacharyya, "Utilization of Deep Learning Models in Medical Industries". Asia-Pacific Journal of Neural Networks and Its Applications, vol.3, no.1, pp.9-16, Nov. 2019
  • MLA:
    Rao N. Thirupathiand Bhattacharyya Debnath. "Utilization of Deep Learning Models in Medical Industries". Asia-Pacific Journal of Neural Networks and Its Applications, vol.3, no.1, Nov. 2019, pp.9-16, doi:http://dx.doi.org/10.21742/AJNNIA.2019.3.1.02

ISSUE INFO

  • Volume 3, No. 1, 2019
  • ISSN(p):2207-8738
  • ISSN(o):2207-8746
  • Published:Nov. 2019

DOWNLOAD