Open AccessDeep learning in the field of disease diagnosis
Author(s) -
Karthika Suresh Kumar,
Dijo Micheal Jerald,
Andrew Emmanuel
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.25.12364
Subject(s) - artificial intelligence , deep learning , disease , field (mathematics) , computer science , machine learning , cure rate , process (computing) , test (biology) , medical diagnosis , medicine , algorithm , statistics , radiology , surgery , pathology , mathematics , paleontology , pure mathematics , biology , operating system
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.