Through the course of the term, students will work on a term long project in 3 or 4-person groups.
The objective of each project is to leverage rich and high-quality datasets to answer and address open problems in the health domain. Project tasks can include data mining, modeling, prediction, classification, etc. but most importantly, projects should aim to advance the state-of-the-art in research literature or practice.
To get started, see strategies and resources for finding a research dataset.
A written report (this can be a publishable paper written to submit to a fitting venue or a report written strictly for this course). In either case, the paper should be written using a target venue's paper template and should follow the appropriate guidelines provided by a relevant journal/conference. See guidelines below.
A project website to document each project and progress. This website will serve as a final portfolio for the work that is done throughout the term. Some examples from previous terms are linked below:
Guidelines for Final Paper
ACM Transactions on Computing for Healthcare (ACM HEALTH)
Organization: Every manuscript must follow instructions provided by the selected venue. An example of submission guidelines for ACM HEALTH can be found here.
Template: All papers should use the appropriate template provided by the selected venue. An example of such a template for ACM HEALTH can be found here.
Reference Papers: It is always a good idea to have a few examples papers from the selected publication venue that can be used as a reference during the course of writing your own paper. Some example reference papers for ACM HEALTH can be found here.
LaTex: All final papers should be written using LaTex. Each project team should use Overleaf - an online, collaborative LaTex editor.