Deep learning in the field of disease diagnosis

  • Authors

    • K S. Harish Kumar
    • Dijo Micheal Jerald
    • A Emmanuel
    2018-05-03
    https://doi.org/10.14419/ijet.v7i2.25.12364
  • Deep Learning, PDF Processing, Prediction.

  • A good treatment is dependent on the accuracy of the diagnosis. The cure for the disease starts with the process of diagnosis. All these years, the grade and standard of the medical field has been increasing exponentially, yet there has been no significant downfall in the rate of unintentional medical errors. These errors can be avoided using Deep learning algorithm to predict the disease. The Deep Learning algorithm scans analyses and compares the patient's report with its dataset and predicts the nature and severity of the disease. The test results from the patient’s report are extracted by using PDF processing. More the medical reports analyzed, more will be the intelligence gained by the algorithm. This will be of great assistance to the doctors as they can interpret their diagnosis with the results predicted by the algorithm.

     

     

  • References

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      Bean, ―Fine particles, thin films and exchange anisotropy, ‖ in Magnetism, vol. III, G. T. Rado and H. Suhl, Eds. New York: Academic, 1963, pp. 271–350.

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      [3] Enhanced Prediction of Heart Disease with Feature Subset Selection using Genetic Algorithm, M. ANBARASI, E. ANUPRIYA, and N.CH.S.N. IYENGAR, School of Computing Science and Engineering, VIT University, Vellore – 632 014, India.

      [4] link:http://archive.ics.uci.edu/ml/datasets/heart+Disease.

      Dataset for heart related ailments.

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  • How to Cite

    S. Harish Kumar, K., Micheal Jerald, D., & Emmanuel, A. (2018). Deep learning in the field of disease diagnosis. International Journal of Engineering & Technology, 7(2.25), 37-39. https://doi.org/10.14419/ijet.v7i2.25.12364