International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023
p-ISSN: 2395-0072
www.irjet.net
DISEASE PREDICTION SYSTEM USING SYMPTOMS Er. Harjeet Singh1, Mr. Ankit Mehta2, *1,2Faculty, Department of Computer Science Lloyd Institute of Engineering & Technology Gr. Noida
--------------------------------------------------------------------***--------------------------------------------------------------------System an interactive web application for users. It will Abstract - Technology has revolutionized the health
explain the purpose and features of the system, the interfaces of the system, what the system will do, theconstraints under which it must operate, and how the system interface will react to external stimuli:
domain largely. This project aims to design a diagnostic model for various diseases relying on their symptoms. This System has used data mining techniques such as classification in order to achieve such a model. Datasets consisting of voluminous data about patient diseases are gathered, refined, classified, and used for training the intelligent agent. Here, the Naive Bayes Algorithm is used for classification purposes. Naïve Bayes Classifier calculates the probabilities of the disease. Based on the result, the patient can contact the doctor accordingly for further treatment. It is an exemplar where technology and health knowledge are sewn into a thread perfectly with a desire to achieve “prediction is better than cure”
1.1 Product Scope A web application-based Disease Prediction System, which predicts diseases that the user may be suffering from, based on the symptoms that the user provides. Basically, the portal is designed for three entities. They are three Users, Doctor, Admin; The User can fill in the Patient details along with the symptoms. The symptoms provided are used by a probability-based algorithm to Display a list of probable Diseases according to their relevance to Symptoms.
Key Words: Machine learning, Naïve Bays, Database, Dataset.
It also displays a list of doctors from the user’s provided city who can cure at least one of the predicted diseases. More efficient and robust Data Mining and Machine Learning algorithms that provide well structure and comparatively larger Datasets that are well known for their accurate prediction can replace the current algorithm. We can also increase records in our disease and symptom database by asking doctors and admin to share with us valuable information. We can also add features such as registering for doctor’s appointments from the portal itself.
1. INTRODUCTION The use of the internet has been stimulating curiosity among people and, if it of any kind is, they are trying to find a solution to their problems through the internet only. It is a matter of fact that people have much easier access to the Internet than hospitals and doctors. So, with the help of this system, a user can consult a doctor by sitting at home itself. There will not be any fuss about visiting a clinic or hospital and making your health condition worse. This Disease Prediction system is a web-based application that predicts the most probable disease of the user in accordance with the given symptoms with the help of the data sets collected from different health-related sites. It often happens that someone nearer or dearer to you may need a doctor’s help immediately for some serious reasons but the doctor is not available for consultation for some prior commitments or other obvious reasons. That is when the role of this automated program comes into play. This Disease Prediction system can be used for urgent guidance on their illness according to the details and symptoms they will feed to the web-based application. Here, we use some intelligent data processing techniques to get the most accurate disease that would be related to the patient’s details. And then based on the results, the patient can contact the respective disease specialist for any further treatments. This system can be used for a free consultation regarding any illness.
Impact Factor value: 8.226
Each user of the system are authenticated by the system.
There is role-based access to the system..
The system allows the patient to give symptoms and accordingto those symptoms, the system will predict a disease.
The system allows the patient to give symptoms and accordingto those symptoms, the system will predict a disease.
The system allows online consultation for patients.
Here is a list of symptoms are required medication, for promoting any program, Potential disease involves either accurate or false. This report Explain the nature of some of the diagnoses and related symptoms such as a disease but it
The need of this document is to present a detailed description of a Web application Based Disease Prediction
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1.2 Related Work
1.1 NEED OF STUDY
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The disease prediction system has three users as doctor,patient, and admin.
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