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Unit of study_

HTIN5005: Computational Approaches for Healthcare Data

The current health data revolution promises transformative advancements in healthcare services and delivery. However, the data generated are vast and complex. Extracting actionable understanding requires cross-disciplinary engagement between data science with healthcare. This unit explores the computational technologies involved in integrating and making sense of the breath of health data, and their use in better understanding the patient. Students will understand the data challenges presented by the various assays in which patients are quantified, spanning genetic testing to organ imaging. Students will explore how computational and machine learning models can span health data to derive integrated understanding of the links and patterns across them. They will employ such models in performing diagnosis and forecasting disease progression and intervention outcomes, thus enabling personalised medicine and supporting clinical decision making. This unit will develop students' understanding of current healthcare challenges, how these can be framed as data science questions, and how they can engage and apply their knowledge in cross-disciplinary ventures to improve healthcare.

Code HTIN5005
Academic unit Computer Science
Credit points 6

At the completion of this unit, you should be able to:

  • LO1. Appreciate the healthcare ecosystem as a complex multi-scale system, spanning individuals, societies, healthcare providers and industry.
  • LO2. Identify the prevailing challenges in medicine and the healthcare ecosystem.
  • LO3. Learn how data can quantify both healthcare challenges and the diverse factors from which they emerge.
  • LO4. Create predictive, diagnostic and prognostic systems of healthcare outcomes through machine learning.
  • LO5. Use computational models to explore how healthcare outcomes emerge from contributing factors, and identify interventions for how outcomes can be improved.
  • LO6. Communicate and collaborate effectively across technological and healthcare/medicine disciplinary boundaries.

Unit outlines

Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.