[A summary of the project and results]
Intro/abstract
Background
[A brief description of the clinical problem and its significance.]
Dataset & Preprocessing
[A description of the dataset, including the dimensionality of the input data, labels, and the sample size]
[You can also include some illustrative figures]
Project Title
[Type group # and members here]
Proposed Approach & Evaluation
Results & Discussion
Conclusion & Future Directions
CSCI 5980/8980: Machine Learning for Healthcare
Final Project Presentation - Fall 2024
Main Contributions of the Project
[A bulleted list of the contributions]
Text and bullets should be 32 pt font, Open Sans
Citations and Tables should be 28 pt font, Open Sans
Headers should be 40 pt font, Open Sans
[How the problem is currently addressed and what are the limitations.]
[A diagram illustrating the overall proposed approach and its description]
[The experiments you performed to evaluate the approach]
Evaluation
[An analysis of the results – what do these results mean?]
Discussion
[Description of the results you obtained]
[Results may vary depending on the project. But in general, you may include some figures and a table with comparison against multiple approaches]
References
Conclusions
Future Directions
[Describe the conclusions you can draw from the results]
[Describe some potential next steps for this project]
[Any preprocessing steps you performed]
Preprocessing (if any)