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Machine learning enables computers to develop learning skills independently, closely linked to pattern recognition, allowing them to recognize different object species. Healthcare sector seen tremendous growth from last two–three decades, liver disease diagnosis is one of them. Liver is a prevalent disease among people of all ages, and AI-based techniques like ML and DL are gaining popularity in healthcare and information security. In this research work, comparative performance analysis reveals random forest classifier as the best performing machine learning technique.

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Analysis of Liver Disease Diagnosis Using Machine Learning Techniques

  • 会议论文

  • 发表日期：

    2026年

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  • Priyanka Thakur,
  • Pinaki Ghosh

摘要

Machine learning enables computers to develop learning skills independently, closely linked to pattern recognition, allowing them to recognize different object species. Healthcare sector seen tremendous growth from last two–three decades, liver disease diagnosis is one of them. Liver is a prevalent disease among people of all ages, and AI-based techniques like ML and DL are gaining popularity in healthcare and information security. In this research work, comparative performance analysis reveals random forest classifier as the best performing machine learning technique.