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Healthcare domain deals with different types of medical data that is available in the form of text or image format. It is very time consuming to correlate the test data with medical images as the text data can be directly produced analyzing the symptoms and on other hand, medical experts are required to interpret the medical imagery as well as it is quite complex to match the symptoms with medical images. In this paper, a machine learning approach will be introduced to correlate the text based medical data with medical imagery using knee injury dataset. Its performance will be also analyzed under the constraints of accuracy, precision value and F-1 score etc.

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Machine Learning Based Clinical Decision Support System for the Diagnosis of Knee Injuries

  • 会议论文

  • 发表日期：

    2025年

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  • Parul Chhabra,
  • Pradeep Kumar Bhatia

摘要

Healthcare domain deals with different types of medical data that is available in the form of text or image format. It is very time consuming to correlate the test data with medical images as the text data can be directly produced analyzing the symptoms and on other hand, medical experts are required to interpret the medical imagery as well as it is quite complex to match the symptoms with medical images. In this paper, a machine learning approach will be introduced to correlate the text based medical data with medical imagery using knee injury dataset. Its performance will be also analyzed under the constraints of accuracy, precision value and F-1 score etc.