Smart Health Prediction and Drug Recommendation Using Data Mining

Authors

  • M. Robinson Joel  Department of Information Technology, Kings Engineering College, Chennai, India
  • G. Manikandan  Department of Information Technology, Kings Engineering College, Chennai, India
  • Shiji B  Department of Information Technology, Kings Engineering College, Chennai, India
  • Sharmila S  Department of Information Technology, Kings Engineering College, Chennai, India

DOI:

https://doi.org/10.32628/IJSRSET2310284

Keywords:

Digital Technology, Health System, Health Prediction, Patient Care, Data Mining Algorithm

Abstract

To ensure that the citizen and community are alive and in good health in the age of digital technology, the world must establish an excellent health system. Users of the system can communicate their symptoms and problems. After that, it analyses the user's symptoms to look for any potential illnesses. Here, we employ some clever data mining algorithms to identify the ailment that might be most accurately linked to the patient's symptoms. In the event that the system is unable to deliver accurate findings, it tells the user of the disease or ailment it believes the user's symptoms are related to. If a user's symptoms do not precisely match any condition in our database, it displays diseases that the user may likely have based on those symptoms. Together with feedback, contacts, and an administrator dashboard for system management, it also includes the doctor's address. According to this study, a data mining algorithm should be used to construct an effective health prediction system for patients.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2023-04-30

Issue

Volume 10, Issue 2, March-April-2023

Section

Research Articles

License

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

How to Cite

[1]
M. Robinson Joel, G. Manikandan, Shiji B, Sharmila S "Smart Health Prediction and Drug Recommendation Using Data Mining" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 2, pp.506-513, March-April-2023. Available at doi : https://doi.org/10.32628/IJSRSET2310284