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Medical Diagnosis on Liver(Stage Prediction) using ML

  • Unique Paper ID: 173792
  • Volume: 11
  • Issue: 10
  • PageNo: 1479-1485
  • Abstract:
  • Liver cirrhosis is a chronic, progressive, and irreversible liver disease that is marked by fibrosis and compromised hepatic function as a result of prolonged liver injury. Early and accurate diagnosis is crucial for successful treatment and prognosis. Conventional diagnostic methods are based on invasive biopsies, imaging modalities, and clinical assessments, which are not only expensive but also prone to human error and variability. Our project utilizes Machine Learning (ML) and Deep Learning (DL) to create a non-invasive, AI-based predictive model that uses clinical and biochemical information to stage liver cirrhosis. With the use of Random Forest, Support Vector Machines (SVM), and Artificial Neural Networks (ANNs), the system has a high accuracy rate in detecting and staging cirrhosis. The backend is built using Django, providing smooth data integration and real-time prediction. This research greatly improves early detection and monitoring, which helps healthcare professionals make decisions.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 10
  • PageNo: 1479-1485

Medical Diagnosis on Liver(Stage Prediction) using ML

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UGC Approved
Journal no 47859

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