ACT Health Directorate: How to Train Your Natural Language Program (or Dragon)

Use health research to develop a training data set for a machine learning program.

label Opportunity type

Student opportunity type

College approved Internship
schedule Application date
Applications open/close
23 Aug 2024 | 12pm - 8 Sep 2024 | 11:59pm
school Level

Degree level

Bachelor
Master

About

 

ACT Health Directorate (ACTHD) provides a comprehensive range of health services to the people of the Australian Capital Territory. ACTHD sets health policy and plans the delivery of health services while ensuring these services meet community needs. ACTHD also funds a range of non-Government organisations to provide vital healthcare services to the people of the ACT and surrounding region.

 

Project: How to Train Your Natural Language Program (or Dragon)

Internship details
Internship AvailabilitySemester 1,  2025
Internship Discipline/s
  • Public Health/Epidemiology
  • Social Sciences/Social Research
  • Psychology
  • Medicine
  • Computer Science
Internship Level2nd or 3rd year Undergraduate, and Postgraduate Coursework
Available to International StudentsNo
Preferred Project Skills:
  • Basic research skills
  • Familiarity with health terminology
  • Optional familiarity with the Python programming language
Clearances RequiredWill need to be approved via ACT Health's InPlace student intake system for non-clinical student placements 
Host Supervisors

Glenn Draper, Senior Epidemiologist, ACT Health

E: glenn.draper@act.gov.au

Dr Louise Freebairn, Manager, Knowledge Translation and Heath Outcomes, ACT Health

E: louise.freebairn@act.gov.au

LocationACT Health Directorate staff follow a hybrid working arrangement.  Some in-office time (two days per week) will be offered at Bowes St, Woden, ACT.
Project Opportunities/Benefits for the InternThe intern will be guided and mentored by supervisors to implement research and data skills on real world data to help create a practical program.

Summary:

Use health research to develop a training data set for a machine learning program. Implement your research, health or computer science knowledge as you are guided through the training process. The core aim of this project is to assist in the creation of a program which classifies Emergency Department presentations based on clinical notes using Natural Language Processing.