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To develop an ML algorithm for early detection of the risk of survival of the Preterm newborn babies through Pain-Scale Assessment and Facial Emotions Recognition technique using OpenCV.

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MrNobody09/AI-ML-for-Newborn-Babies-in-Healthcare

 
 

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Newborn

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The main idea of this project is to develop a Machine Learning algorithm for classifying the facial expressions of Newborn babies in the Hospital as per the Pain Scale Assessment on a scale of 10. It involves 5 expressions mainly, they are:

  1. Neutral
  2. Pain due to Hunger
  3. Pain due to Discomfort
  4. Pain due to physical body pains/internal organ pains
  5. Pain due to Attention-seeking

These 5 pains can be classified under pain scale into 4 different categories. They are:

  1. No Pain (Scale 0 )
  2. Mild Pain(Scale 1-2)
  3. Moderate Pain (Scale 3 to 6)
  4. Severe Pain (Scale 7 to 10)

Pain Scale

Based on this classification algorithm, and based on our Data Analysis obtained through the babies Facial expressions, the doctors can get to know the Low-risk and High-risk behaviour from the babies and focus on giving required attention and proper treatment to the babies that are under high-risk severity and can help their life from disasters.

💡Tech Stack required:

  • Python software installed --> You can install it from here if not installed previously - https://www.python.org/
  • Any python supporting IDE(Jupyter Notebook/Pycharm)
  • Tensorflow --> pip install tensorflow
  • OpenCV --> pip install opencv-python
  • Numpy --> pip install numpy

👍OpenSource Program

This project is a part of these open source programs.

✨Hall Of Fame

Thanks goes to these Wonderful People. Contributions of any kind are welcome!🚀

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To develop an ML algorithm for early detection of the risk of survival of the Preterm newborn babies through Pain-Scale Assessment and Facial Emotions Recognition technique using OpenCV.

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  • Jupyter Notebook 85.1%
  • Python 14.9%