Document Type

Conference Proceeding

Publication Title

Studies in Health Technology and Informatics

Volume

318

First Page

196

Last Page

197

PubMed ID

39320214

Publisher

IOS Press

School

School of Nursing and Midwifery

RAS ID

75912

Grant Number

ID IC2023-GAIA/18

Comments

Wang, G., Bennamoun, H., Kwok, W. H., Marriott, R., Walker, R., & Kotz, J. (2024). Codesigning a clinical prediction model for Aboriginal perinatal mental health using Glassbox AI and Aboriginal wisdom and lived experience. In Health. Innovation. Community: It Starts With Us (pp. 196-197). IOS Press. https://doi.org/10.3233/SHTI240925

Abstract

Perinatal mental health is vital for mothers, infants, and families. Aboriginal mothers, despite their strengths, face greater mental health disparities due to colonisation and trauma. Traditional screening methods lack cultural sensitivity. The Baby Coming You Ready (BCYR) program offers a culturally sensitive assessment with promising pilot results. To support health professionals, an AI solution using the Explainable Boosting Machine (EBM) is proposed, trained with Aboriginal lived experiences. This model identifies maternal protective and risk factors, offering interpretable predictions for holistic culturally sensitive care.

DOI

10.3233/SHTI240925

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

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