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Marcia Scazufca

11PUBLICATIONS

61CO-AUTHORS

Language documentation and descriptionPacific Peoples and disabilityDeep learningPeople with disabilityEpidemiological modelling

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Publications (11)

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|Feb 09, 2026

Generative multimodal large language models in mental health care: Applications, opportunities, and challenges.

Ariel Soares Teles, Jaya Chaturvedi, Tao Wang

|Apr 28, 2025

Depressive Symptomatology Is Associated With Self-Reported Impaired Postural Balance in Older Adults: A Cross-Sectional Study in Primary Care in Brazil.

Thiago Vinicius Nadaleto Didone, Catarina Costa Boffino, Nadine Seward

|Jul 04, 2024

Bayesian Networks for Prescreening in Depression: Algorithm Development and Validation.

Eduardo Maekawa, Eoin Martino Grua, Carina Akemi Nakamura

|Mar 15, 2024

Self-help mobile messaging intervention for depression among older adults in resource-limited settings: a randomized controlled trial.

Marcia Scazufca, Carina Akemi Nakamura, Nadine Seward

|Oct 19, 2023

Patient Health Questionnaire-9 Item Pairing Predictiveness for Prescreening Depressive Symptomatology: Machine Learning Analysis.

Darragh Glavin, Eoin Martino Grua, Carina Akemi Nakamura

|Jan 18, 2023

Use of WhatsApp by older adults screened for depression in socioeconomically deprived areas of Guarulhos, São Paulo State, Brazil: challenges and possibilities for telehealth.

Felipe Azevedo Moretti, Márcia Scazufca, Carina Akemi Nakamura

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Frequent Collaborators

6 joint publications

Carina Akemi Nakamura

6 joint publications

Tim Peters

6 joint publications

Ricardo Araya

4 joint publications

Pepijn Van de Ven

2 joint publications

Caio Hudson Queiroz de Souza

2 joint publications

William Hollingworth

2 joint publications

Eoin Martino Grua

2 joint publications

Nadine Seward

2 joint publications

Darío Moreno-Agostino

1 joint publications

Tao Wang

Frequent Collaborators

6 joint publications

Carina Akemi Nakamura

6 joint publications

Tim Peters

6 joint publications

Ricardo Araya

4 joint publications

Pepijn Van de Ven

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