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Vitamin deficiencies pose a significant health challenge globally, affecting millions of people and leading to various health problems, ranging from weakened immune systems to severe neurological disorders. Early detection of these deficiencies is essential for preventing associated health complications. Traditional methods of detecting vitamin deficiencies involve time-consuming and sometimes invasive procedures, making them less accessible and efficient, particularly in resource-limited settings. However, recent advancements in medical technology and data analysis techniques have opened up new avenues for accurate and timely detection of vitamin deficiencies.

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Recognition of Vitamin Deficiency Based on Neural Networks

  • 会议论文

  • 发表日期：

    2025年

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  • Ch. Shashank Reddy,
  • S. Nagendra Prabhu,
  • T. Karthik Kumar Reddy,
  • G. Dinesh

摘要

Vitamin deficiencies pose a significant health challenge globally, affecting millions of people and leading to various health problems, ranging from weakened immune systems to severe neurological disorders. Early detection of these deficiencies is essential for preventing associated health complications. Traditional methods of detecting vitamin deficiencies involve time-consuming and sometimes invasive procedures, making them less accessible and efficient, particularly in resource-limited settings. However, recent advancements in medical technology and data analysis techniques have opened up new avenues for accurate and timely detection of vitamin deficiencies.