This paper is in the following e-collection/theme issue:

Artificial Intelligence (2129) Vulnerable Populations in Health Research (237) Equity and Digital Divide (370) Machine Learning (2076) Perinatal Depression; Postpartum Depression; PPD (133)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68030, first published .
Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach

Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach

Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach

Authors of this article:

Guanjin Wang1, 2 Author Orcid Image ;   Hachem Bennamoun1 Author Orcid Image ;   Wai Hang Kwok3 Author Orcid Image ;   Jenny Paola Ortega Quimbayo1 Author Orcid Image ;   Bridgette Kelly2 Author Orcid Image ;   Trish Ratajczak2 Author Orcid Image ;   Rhonda Marriott2 Author Orcid Image ;   Roz Walker2 Author Orcid Image ;   Jayne Kotz2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Guanjin Wang   1, 2 , PhD ;   Hachem Bennamoun   1 , MIT ;   Wai Hang Kwok   3 , PhD ;   Jenny Paola Ortega Quimbayo   1 , MIT ;   Bridgette Kelly   2 , RMT ;   Trish Ratajczak   2 , RMT ;   Rhonda Marriott   2 , PhD ;   Roz Walker   2 , PhD ;   Jayne Kotz   2 , PhD

1 School of Information Technology, Murdoch University, Perth, Australia

2 Ngangk Yira Institute for Change, Murdoch University, Perth, Australia

3 School of Nursing and Midwifery, Edith Cowan University, Perth, Australia

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