Health Care Card System

Authors

  • Pranjali Kulkarni  Computer Engineer, Marathwada Mitra Mandal's College of Engineering, Pune, Maharashtra, India
  • Siddhesh Bhosale  Computer Engineer, Marathwada Mitra Mandal's College of Engineering, Pune, Maharashtra, India
  • Atharva Gunjal  Computer Engineer, Marathwada Mitra Mandal's College of Engineering, Pune, Maharashtra, India
  • Aarya Soman  Computer Engineer, Marathwada Mitra Mandal's College of Engineering, Pune, Maharashtra, India
  • Pradnya Mehta   Assistant Professor, Marathwada Mitra Mandal's College of Engineering, Pune, Maharashtra, India

Keywords:

Supervised algorithms, Convolutional Neural Network (CNN), Artificial Neural Network (ANN), K-Nearest Neighbor (KNN), Navies Bayesian (NB), Random Forest (RF).

Abstract

Disease Prediction using supervised machine learning algorithms has shown a potential growth in the past few years. The proposed system is based on a predictive model that predicts the disease of the user based on the symptoms provided. The system analyses these symptoms and gives the probability of the disease as an output. Along with disease prediction, the system also calculates the severity of the disease and suggests remedies like diet plans and exercises. Looking at the current growth of supervised algorithms in Health Risk Assessment (HRA) and the extensive research done, the system uses CNN algorithm to achieve its results.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-06-30

Issue

Volume 8, Issue 3, May-June-2022

Section

Research Articles

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

How to Cite

[1]
Pranjali Kulkarni, Siddhesh Bhosale, Atharva Gunjal, Aarya Soman, Pradnya Mehta , " Health Care Card System, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.111-119, May-June-2022.