Published November 30, 2023 | Version CC-BY-NC-ND 4.0
Journal Open

Early Disease Prediction using Ml

Creators

  • 1. Student, Galgotias University Greater Noida, UP, India.

Contributors

Contact person:

  • 1. Professor, Galgotias University Greater Noida, UP, India.
  • 2. Student, Galgotias University Greater Noida, UP, India.

Description

Abstract: The approach employed in disease prediction using machine learning involves making forecasts about various diseases by utilizing symptoms provided by patients or other individuals. The supervised machine learning approaches called random forest classifier, KNN classifier, SVMs classifier are employed to forecast the disease. These algorithms are used to determine the disease's probability. Accuratemedical data analysis helps with patient care and early disease identification as biomedical and healthcare data volumes rise. Diabetes, heart diseases are just a few of the illnesses we can forecast using linear regression and decision trees. Early detection is beneficial for determining the possibility of diabetes, heart disease.

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Additional details

Identifiers

DOI
10.35940/ijaent.I9694.11101123
ISSN
2347-6389

Dates

Accepted
2023-11-15
Manuscript received on 09 July 2023 | Revised Manuscript received on 09 November 2023 | Manuscript Accepted on 15 November 2023 | Manuscript published on 30 November 2023

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