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Research Article

Multiple Human Disease Detection System

Open Access Peer Reviewed

Authors

  • Shreya Agrahari1
  • Shruti Pandey2
  • Vijendra Pratap Singh3

12Computer Science and Engineering, Institute of Technology and Management, Gorakhpur, India. 3Assistant Professor Department of Computer Science and Engineering, Institute of Technology and Management, Gorakhpur, India.

Article Information

DOI
No DOI
Published Online
May-June 2023
Pages
90-95
Article Type
Research Article
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No DOI available for cross-reference

Abstract

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Abstract: This project is an attempt to help one to predict the disease he/she is having through the symptoms and the correct readings of the bodily vitals needed. There are times when people keep on ignoring health issues due to high medical fees. This may lead to severe issues later and even death. If not covered by insurance, medical bills can be a menace. This website is an approach in reducing the effort of a normal person by estimating the kind of disease one has and its severity. We have designed a disease prediction system using multiple machine learning algorithms. Based on the symptoms, age, and gender of an individual, the diagnosis system gives the output giving the information about whether the user is suffering from that particular disease or not. It provides a simple yet effective approach for predicting the disease, if the provided values of vitals are accurate. The user will experience a simple yet effective User Interface and pleasing design.

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