Ethics of machine-learning-based risk scores in asthma and impact on health inequities

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Year:

2022

Duration:

6 months

Approved budget:

$7,500.00

Researchers:

Ms Darsha Widana Kankanamge

Host:

Auckland University of Technology

Proposal type:

Ethics Summer Studentship

Lay summary

The outline of the proposed research is to explore how Māori can be best represented in machine learning models in a way that does not exacerbate existing health inequities and develop an Application Programming Interface (API) to generate a machine-learning-based risk score for Māori patients. This API can be potentially used by multiple health information systems.

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