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
  [Reproducibility in machine learning for health research, still a ways to go] [A Beginner’s Guide to Conducting Reproducible Research]
  
• Literature 1 - Medical Databases
  Student led discussion of 2 papers analysing tabular medical database data
  [Interpretable Machine Learning Approaches to Prediction of Chronic Homelessness] [Development and Evaluation of the Universal ACS NSQIP Surgical Risk Calculator, A Decision Aide and Informed Consent Tool for Patients and Surgeons]
  
• Literature 2 - Electronic Medical Records
  Student led discussion of 2 papers analysing text-data from electronic medical records
  [Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis, A feasibility study] [Using natural language processing to improve efficiency of manual chart abstraction in research, the case of breast cancer recurrence]
  
• 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]