Literature

You can download copy of assigned papers for the literature tutorials. Paper assignments will done randomly (without replacement) and will be emailed to the entire class ~1 week before the tutorial. Everyone will present and lead discussion for 1 paper (potentially sharing depending on class size).

• Literature 0 - Reproducible Research
  Lecturer guided discussion and critique of initial papers
  [A Beginner’s Guide to Conducting Reproducible Research] [Reproducibility in machine learning for health research, still a ways to go]
  
• Literature 1 - Medical Databases
  Student led discussion of 2 papers analysing tabular medical database data
  [Using machine learning tools to investigate factors associated with trends in 'no-shows' in outpatient appointments] [Machine learning-based prediction models for patients no-show in online outpatient appointments]
  
• Literature 2 - Electronic Medical Records
  Student led discussion of 2 papers analysing text-data from electronic medical records
  [Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data - Marafino et. al.] [Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication - Chung et. al.]
  
• Literature 3 - Medical Imaging
  Student led discussion of 2 papers analysing medical image data
  [Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs] [Deep learning algorithm predicts diabetic retinopathy progression in individual patients]
  
• Literature 4 - Physiological Sensors
  Student led discussion of 2 papers analysing signal data from physiological sensors
  [Improvements in atrial fibrillation detection for real-time monitoring] [An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm, a retrospective analysis of outcome prediction]