In today’s world, health condition recognition is still a challenge. Many neglect their early symptoms of various health diseases and do not maintain any personal digital health records. Moreover, in the recent pandemic we have seen that the shortage and Due to the lack of medical care, early COVID-19 identification at home was necessary to stop the virus's spread and provide the patient with prompt care. The continuous development of Machine Learning models, deep learning has also been widely used and tt has aided in the development of image processing and computer vision. Keeping this in mind, This paper proposes a web application for image processing technology and applies deep learning-based image processing to the detection of medical problems using the CNN VGG-16 model. For monitoring health conditions from home.

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A Deep Learning Method for Home Health Monitoring

  • I. Ravi Prakash Reddy,
  • Munazza Khan

摘要

In today’s world, health condition recognition is still a challenge. Many neglect their early symptoms of various health diseases and do not maintain any personal digital health records. Moreover, in the recent pandemic we have seen that the shortage and Due to the lack of medical care, early COVID-19 identification at home was necessary to stop the virus's spread and provide the patient with prompt care. The continuous development of Machine Learning models, deep learning has also been widely used and tt has aided in the development of image processing and computer vision. Keeping this in mind, This paper proposes a web application for image processing technology and applies deep learning-based image processing to the detection of medical problems using the CNN VGG-16 model. For monitoring health conditions from home.