The ML Powered Personalized Healthcare Guidance System is a machine learning-based advanced personalized healthcare service. It evaluates user-supplied symptom data and predicts possible diseases. Its predictions are Through the classification model Random Forest, he achieved great accuracy. Furthermore, it assists patients with specific medications, diets, daily activities, medical background exercise routines, and identifies the relevant hospital for the patient’s illness. This system also adopts an aspect of health preservation by introducing tips together with certain precautionary measures to slow down the aggravation and recurrence of illnesses. The purpose is to make sure that the given advice can be practically applied and therefore allow better health to the users. Its system employs Machine Learning to constantly alter and improve recommendations so that users have access to the most comprehensive, precise and current information. The interface has been designed to be user friendly and implemented into a Flask web application which allows changing the perception of healthcare to be more proactive and aid in health and wellness advancement.

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Smart Healthcare Framework: An ML Approach

  • Ch. Siva Subrahmanyam,
  • M. Chilakarao,
  • K. B. V. Vara Prasad,
  • L. Jayanth,
  • L. Obula Naik,
  • K. Yuvaraj

摘要

The ML Powered Personalized Healthcare Guidance System is a machine learning-based advanced personalized healthcare service. It evaluates user-supplied symptom data and predicts possible diseases. Its predictions are Through the classification model Random Forest, he achieved great accuracy. Furthermore, it assists patients with specific medications, diets, daily activities, medical background exercise routines, and identifies the relevant hospital for the patient’s illness. This system also adopts an aspect of health preservation by introducing tips together with certain precautionary measures to slow down the aggravation and recurrence of illnesses. The purpose is to make sure that the given advice can be practically applied and therefore allow better health to the users. Its system employs Machine Learning to constantly alter and improve recommendations so that users have access to the most comprehensive, precise and current information. The interface has been designed to be user friendly and implemented into a Flask web application which allows changing the perception of healthcare to be more proactive and aid in health and wellness advancement.