Introduction
We will put forth five challenges. Each team is asked to select a single challenge at the beginning of the hackathon and to create a KNIME workflow that can solve the challenge.
You are allowed to use Python to write supplemental code if you need to. However, the Python code should be created as a KNIME node and used as such in the workflow.
As this is a hackathon, we will only be handing out the challenges on the date of the hackathon. However, we have outlined the broad areas around which the five challenges will focus on below
Tools and Technologies
To better prepare for this event, consider watching KNIME's free, self-paced courses on data science (levels L1 and L2). We will also provide you with coupon codes for our certifications very soon.
Inspiration
We have outlined the broad areas around which the five challenges will focus on below
- Prediction of Disease Outbreaks
- Personalized Medicine and Pharmacovigilance
- Medical Image Analysis
- Promoting Diversity and Equity in Healthcare
- Remote Patient Monitoring and Telemedicine
Contact Us & Support Channels
Additional Resource links
Sources of data for the challenges can be harnessed from the following
- https://data.gov/
- https://cpicpgx.org/genes-drugs/
- https://www.cancerimagingarchive.net/
- https://physionet.org/data/
- https://open.fda.gov/data/faers/
- https://www.ahrq.gov/sdoh/data-analytics/sdoh-data.html#download