Classifying cognitive biases in medical diagnostic reasoning trajectories
Suitable for:
Student, Bachelor or Master projectDescription:
Cognitive biases are inherent tendencies of the human mind to make systematic errors in judgment or decision-making. In the context of medical diagnosis, these biases can significantly influence healthcare professionals’ ability to accurately diagnose and treat patients. The objectives of this project include identifying and categorizing cognitive biases related to medical diagnosis, analyzing reasoning trajectories to uncover bias patterns, and developing a classification framework using machine learning algorithms. By understanding and classifying these biases, the project seeks to improve diagnostic accuracy and patient outcomes in the field of medicine.