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PRESENTED BY

IQRA NAZ FA16-BCS-041

MARYAM ZIA FA16-BCS-045

MUHAMMAD ADIL FA16-BCS-054

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Contents

  • Introduction
  • Problem statement
  • Solution to problem statement
  • Objectives
  • Modules
  • Diagrams
  • Tools and technologies
  • Screenshots
  • Implementation
  • Conclusion
  • Future work
  • References

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Introduction

  • Disease Predictor is an android application that provides online support.
  • Predicts the existences of disease on the basis of various symptoms.
  • The patients can simply detect the disease by just imputing symptoms.
  • Here we use some machine learning techniques to guess the most accurate disease that can be associated with patient’s symptoms.
  • The doctor will be recommended to the patient.

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Problem Statement�

  • In the current period, consulting any doctor is very tiresome task for the patient and also time consuming
  • Doctors are not available due to some reason.
  • Also if the user is out of reach of doctor and hospitals it may be not easy for the patient as the disease cannot be recognized.

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Problem solution for proposed system�

  • Our system will keep in mind the fact of time and cost for the patient.
  • “Disease Predictor” includes a list of few number of symptoms, their diseases and suggestions.
  • One can easily find what disease he/she is infected on the basis of symptoms.
  • The doctor will be recommended to the patient suffering from that disease.

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Objective

  • The goal of developing this application is to provide medical guidance to a patient who wants to know about the Disease Symptoms.
  • Concerning the symptoms the possible disease is predicted.
  • The overall ambition of this application development is to make the primary treatment quickly and easily.

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Modules

  • Patient
  • Patient Registration
  • Patient login
  • Patient Profile
  • Disease Prediction
  • Suggest Doctor
  • Feedback

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  • Doctor
  • Doctor Registration
  • Doctor Login
  • Doctor profile
  • Feedback
  • Admin
  • View Feedback
  • View Doctors
  • View Patients

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Architectural Diagram

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Use case Diagram

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Activity Diagram

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Sequence diagram

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Tools and Technologies

  • Android Studio 4.0
  • Firebase
  • MSVisio
  • Microsoft Office
  • Microsoft Azure
  • Android device
  • Internet connection
  • Emulator

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Screenshots

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Screenshots

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Screenshots

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Screenshots

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Implementation

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Conclusion

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  • Because many people don't realize the general body diseases.
  • 25 % of the population succumbs to death because of ignoring the early general body symptoms.
  • This could be a dangerous situation for the population and can be alarming.
  • Hence identifying or predicting the disease at the earliest is very important
  • The purpose of this application is to provide prediction for the disease on the basis of symptoms.

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Future Work

  • Medicine suggestion
  • Diet Suggestion
  • Health care
  • More symptoms and more diseases

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References

  • 1-International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2017 IJSRCSEIT | Volume 2 | Issue 2 | ISSN : 2456-3307
  • 2-International Journal of Innovative Research in Science, Engineering and Technology(An ISO 3297: 2007 Certified Organization)Website: www.ijirset.com Vol. 6, Issue 3, March 2017
  • 3-https://healthpredictionfyp.wordpress.com/2015/09/13/project- modules

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