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An Examle of Applying Machine Learning in Medical Field

 
An Examle of Applying Machine Learning in Medical Field | Udemy Ned

To demonstrate how machine learning and deep learning are able to provide a medical diagnosis, I’ll walk you through a step-by-step example of how the technology can be used to detect and diagnose breast cancer using a publicly available data set. Challenges of Applying Machine Learning in Healthcare

What you'll learn
  • A real world example of applying machine learning in medical field
Requirements
  • Knowledge of machine learning classifiers and R programming
Description

In this course, you will learn hands-on experience of a real world project that applying machine learning in cancer research in the medical field. The goal of the project is to predict the treatment response using Magnetic Resonance Imaging (MRI) for brain tumors. In this course, you will learn the hands-on workflow of data analytics in clinical world, how machine learning comes into play to solve the problem, and the challenges and difficulties of dealing with medical data.

Who this course is for:
  • Beginners in machine learning who want to learn the workflow of a real-world project
PhD in Biomedical Physics

I got my PhD in Biomedical Physics in UCLA. My research is to apply machine learning to solve problems in cancer research in clinical field. My dissertation focuses on two projects. One is applying machine learning to predict treatment response using MR images with brain tumors. And the other is developing algorithms with machine learning for automated tumor segmentation on MR images.



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