Disease prediction is, by far, done only by doctors after a long queue of waiting for an appointment. The web application here is trained to analyze the symptoms reported by the user and gives personalized diagnostic insights by using machine learning algorithms. The application also helps the user schedule an appointment with the doctor to verify the disease. The main focus is to reduce the waiting time and get a quick meetup with the doctor. This is done by collecting a report from the patient about their symptoms which will be sent to the doctor as soon as the appointment is scheduled. This system enhances healthcare accessibility by providing timely and almost accurate disease assessments, ultimately fostering a more efficient and user-centric healthcare ecosystem.

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CureFinder - A Smart Health Care Aide for Predictive Analysis of Disease

  • Amrutha Sivakumar,
  • M. Srinidhi,
  • Anaswara Reji,
  • B. Sreevidya,
  • M. Rajesh

摘要

Disease prediction is, by far, done only by doctors after a long queue of waiting for an appointment. The web application here is trained to analyze the symptoms reported by the user and gives personalized diagnostic insights by using machine learning algorithms. The application also helps the user schedule an appointment with the doctor to verify the disease. The main focus is to reduce the waiting time and get a quick meetup with the doctor. This is done by collecting a report from the patient about their symptoms which will be sent to the doctor as soon as the appointment is scheduled. This system enhances healthcare accessibility by providing timely and almost accurate disease assessments, ultimately fostering a more efficient and user-centric healthcare ecosystem.