Our lab is using clinical notes to phenotype COVID patient outcomes. The aim is to better understand the sequela of COVID-19 from clinical notes.

Outcome

Support analysis and manuscript generation.

Learning opportunity

Analysis of electronic patient informations. Specifically, experience with ETL of EHR data and application of NLP and phenotyping methods.

One selected candidate may receive a stipend via the DSI Scholars program. Amount is subject to available funding.

Faculty Advisor

  • Professor: Kenrick Cato
  • Department/School: Nursing
  • Location: CUMC

Project Timeline

  • Anticipated workload: 10hr/week 8 weeks
  • Duration: We plan to conduct this project in 3 months. If the student could provide half time effort that would be great.

Candidate requirements

  • Skills required: R/Python, SQL
  • Student eligibility: freshman, sophomore, junior, senior, master’s
  • Additional comments: None