Predictive Healthcare: A Disease Prediction System Using Naive Bayes Algorithm

  • Unique Paper ID: 168358
  • Volume: 11
  • Issue: 5
  • PageNo: 682-686
  • Abstract:
  • Recent advancements in healthcare technology have revolutionized the approach to diagnosis and treatment. This project centers on creating an advanced diagnostic model employing data mining techniques, specifically classification. Through careful data curation, we have developed a reliable framework utilizing the Naive Bayes Algorithm to predict diseases based on symptoms reported by patients. This tool empowers individuals to seek prompt medical attention, potentially mitigating the progression of illnesses. The integration of machine learning into healthcare not only enhances diagnostic accuracy but also facilitates personalized treatment plans. By analyzing vast amounts of medical data, our model can identify patterns and correlations that might be overlooked by conventional methods. Furthermore, the user-friendly interface ensures accessibility for individuals without medical expertise, making preventive healthcare more approachable and widespread. By emphasizing prevention, our project aspires to enhance early detection and elevate the quality of life through predictive healthcare. This innovative approach aims to reduce the burden on healthcare systems by enabling early intervention, thus improving patient outcomes and promoting overall public health.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 5
  • PageNo: 682-686

Predictive Healthcare: A Disease Prediction System Using Naive Bayes Algorithm

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