Disease Detection using Machine Learning
Author(s):
Shubham Gupta, Pranav Kulkarni, Animesh Singh
Keywords:
Disease Detection using Machine Learning
Abstract
India is home to 1.3 billion people and with such a huge population arises sanitation and cleanliness problems. These problems further nurture deadly diseases. Indians are prone to a variety of disease be it lifestyle related or deficiency related. Indians, majorly constituting of conservative societies often shy away from relaying their symptoms to doctors which further leads to mortal complications. We used machine learning to bridge the gap between the lack of communication. Machine learning is a widely over used topic in medical field but rather than removing the doctor completely and substituting it with an Artificial Intelligence we made them work together to simplify the whole process and make it less time consuming and less prone to errors. We investigated different diseases and their symptoms. Post the analysis we made a model to classify the symptoms and provide an overview of the patient to the doctor while limiting the scope to provide a better diagnostics. It not only will reduce the burden on the doctor but also save the patient from unnecessary medical tests thus reducing the overall costs of medication.
Article Details
Unique Paper ID: 149927

Publication Volume & Issue: Volume 7, Issue 2

Page(s): 32 - 35
Article Preview & Download


Share This Article

Go To Issue



Call For Paper

Volume 7 Issue 3

Last Date 25 August 2020

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies