Disease Prediction from Various Symptoms Using Machine Learning

Authors

  • Mrs. M. S. Sandhya Rani  Assistant Professor, Department of Computer Science and Engineering, Anurag University, Hyderabad, Telangana, India
  • Guda Ankitha  Department of Computer Science and Engineering, Anurag University, Hyderabad, Telangana, India
  • Polasani Harini  Department of Computer Science and Engineering, Anurag University, Hyderabad, Telangana, India
  • G Ravi  Department of Computer Science and Engineering, Anurag University, Hyderabad, Telangana, India

DOI:

https://doi.org/10.32628/IJSRST52310466

Keywords:

Disease Prediction Symptoms Machine Learning

Abstract

The main reason to develop this system is that we need to be aware of diseases that may start with small symptoms and end up with dangerous health conditions. So, to avoid this we need to have regular health check-up’s but in our modern lifestyle there is no much time left for health check-up or any kind of diagnosis. That’s why with this human disease prediction from various symptoms we can easily check the underlying diseases just buy selecting the symptoms that people may have in the start and check the problem and all this process will happen in a span of few seconds and mainly at your convenient place. In this system we have used naive bayes algorithm to predict the disease based on the your inputs and we have used the dataset collected by the Columbia University and this system uses this dataset and algorithm to predict the most likely disease according to the entered or selected symptoms.

References

  1. D. W. Bates, S . Saria, L. Ohno-Machado, A. Shah, and G. Escobar, “Big data in health care: using analytics to identify and manage high-risk and high-cost patients,” Health Affairs.
  2. K.R.Lakshmi, Y.Nagesh and M.VeeraKrishna, ”Performance comparison of three data mining techniques for predicting kidney disease survivability”, International Journal of Advances in Engineering Technology.
  3. Mr. Chala Beyene and Prof. Pooja Kamat, “Survey on Prediction and Analysis the Occurrence of Heart Disease Using Data Mining Techniques”, International Journal of Pure and Applied Mathematics.
  4. Boshra Brahmi, Mirsaeid Hosseini Shirvani, “Prediction and Diagnosis of Heart Disease by Data Mining Techniques”, Journals of Multidisciplinary Engineering Science and Technology.

International Journal of Scientific Research in Science and Technology

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Published

2023-09-30

Issue

Volume 10, Issue 5, September-October-2023

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mrs. M. S. Sandhya Rani, Guda Ankitha, Polasani Harini, G Ravi "Disease Prediction from Various Symptoms Using Machine Learning" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 5, pp.322-327, September-October-2023. Available at doi : https://doi.org/10.32628/IJSRST52310466