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Codesigning a Clinical Prediction Model for Aboriginal Perinatal Mental Health Using Glassbox AI and Aboriginal
Guanjin Wang1,2, Hachem Bennamoun1, Wai Hang Kwok3
1School of Information Technology, Murdoch University, Perth, Australia.
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.
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.
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