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McMedHacks: Week 1/Introduction to classical machine learning

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Activités de formation

McMedHacks is an 8-week-long program that aims to teach students and researchers fundamentals of medical image analysis and deep learning in Python.

It consists of a series of in-depth workshop demos with Google Colab and seminar series given by leaders in the field. McMedHacks is a program organized by the EngerLab at McGill Medical Physics Unit and the Lady Davis Institute.

EngerLab is a part of McGill Centre for Translational Research in Cancer as well as the Cancer Research Network. 

Theme and program of week 1 : Introduction to classical machine learning

  • June 12th (Sun): Introduction to classical machine learning
  • June 15th (Wed): Classical machine learning: A case study XGBoost
  • June 17th (Fri): Introduction to image processing: Image IO and image transformations

Activities

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Featured project

Intraoperative analgesic treatment decisions based on the NOL index: contribution of a data-based approach to improve accuracy and relevance

Student member : Marzieh Ghiyasinasab

This research project is based on the analysis of massive data on the NOL index and other intraoperative clinical parameters used by anesthesiologists during surgery. These parameters help them make analgesic treatment decisions in a non-communicating patient under general anesthesia and in whom it is impossible to assess pain and analgesic needs by standard questionnaires performed on awake patients. 
First, the objective is to interpret the values of this index in relation to the decisions made by the clinician. 

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