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The paper presents a comparative analysis of various technological approaches within the healthcare sector, focusing on enhancing naturopathy to optimize disease treatment. The proposed system leverages Natural Language Processing (NLP) and Machine Learning (ML) to match symptoms with natural remedies, effectively minimizing side effects. Unlike other AI-based healthcare solutions—such as Generative AI models [1], deep learning techniques for Alzheimer’s detection [2], and chronic disease management systems [3]—our system utilizes advanced technologies to improve performance, scalability, and personalization. The results indicate that our integrated naturopathic approach outperforms existing systems in these areas.

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Harnessing AI and Machine Learning for Personalized Naturopathic Care: A Revolutionary Approach to Holistic Health

  • 会议论文

  • 发表日期：

    2026年

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  • C. R. Rathish,
  • B. R. Kruthika,
  • C. Rosvin Joseph,
  • Asha Rani Borah,
  • S. Aaron Dennis,
  • U. Harshavardhini

摘要

The paper presents a comparative analysis of various technological approaches within the healthcare sector, focusing on enhancing naturopathy to optimize disease treatment. The proposed system leverages Natural Language Processing (NLP) and Machine Learning (ML) to match symptoms with natural remedies, effectively minimizing side effects. Unlike other AI-based healthcare solutions—such as Generative AI models [1], deep learning techniques for Alzheimer’s detection [2], and chronic disease management systems [3]—our system utilizes advanced technologies to improve performance, scalability, and personalization. The results indicate that our integrated naturopathic approach outperforms existing systems in these areas.