Considerations for collecting data in Māori population for automatic detection of schizophrenia using natural language processing: a New Zealand experience
Author:
Funder
UNITEC
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Human-Computer Interaction,Philosophy
Link
https://link.springer.com/content/pdf/10.1007/s00146-023-01700-6.pdf
Reference54 articles.
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2. Bedi G, Carrillo F, Cecchi GA, Slezak DF, Sigman M, Mota NB, Corcoran CM (2015) Automated analysis of free speech predicts psychosis onset in high-risk youths. NPJ Schizophr 1(1):1–7
3. Belenguer L (2022) AI bias: exploring discriminatory algorithmic decision-making models and the application of possible machine-centric solutions adapted from the pharmaceutical industry. AI Ethics 2(4):771–787
4. Bennett ST, Liu JH (2018) Historical trajectories for reclaiming an indigenous identity in mental health interventions for Aotearoa/New Zealand—Māori values, biculturalism, and multiculturalism. Int J Intercult Relat 62:93–102
5. Berryman M, Eley E, Copeland D (2017) Listening and learning from rangatahi Māori: the voices of Māori youth. Crit Quest Educ 8(4):476–494
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