STM Journals Peer-reviewed research from Consortium e-Learning Network

Research and Reviews : A Journal of Medical Science and Technology

Disease Prediction Using Machine Learning (ML)

  1. Harshvardhan .
  2. Manish Kumar Rai
  3. Pradyumn Kumar
  4. Silki Kharaliya

Abstract

A technique called Machine Learning Disease Prediction uses symptoms reported by users or patients to forecast disease. The user-provided symptoms are entered into the system, and it outputs the disease probability. In disease forecasting, various popular supervised machine learning methods are known to be utilized. These algorithm estimates the likelihood of a disease occurrence. Precise analysis of medical information will support timely disease detection and management of patients based on their biological status and medical status growth. The precise analysis of medical information provided by Machine Learning Disease Prediction greatly aids in the early detection of diseases. Timely detection is paramount in ensuring that patients receive the necessary medical attention promptly, potentially preventing the disease from progressing to a more advanced stage.

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