Christian Shewmake
Identifying Future Emergency Medical Services High Utilizers with DSSG & the City of Memphis
June - August 2019
Overview
This summer, our DSSG team used methods from machine learning to classify patients who were likely to utilize 911 EMS resources more than usual in the future using recent Computer Aided Dispatch (CAD) data and electronic Patient Care Records (ePCR).
You can learn about out all of the cool projects from this summer by watching our talks from the 2019 DataFest in London. If you want more details about our work, you can check out our DataFest poster below, look over the GitHub repo [public soon], or contact me directly!
Data Science for Social Good at Imperial College London
"The Data Science for Social Good Fellowship is a summer program to train aspiring data scientists to work on data mining, machine learning, big data, and data science projects with social impact. Working closely with governments and nonprofits, fellows take on real-world problems in education, health, energy, public safety, transportation, economic development, international development, and more.
For three months they learn, hone, and apply their data science, analytical, and coding skills, collaborate in a fast-paced atmosphere, and learn from mentors coming from industry and academia."