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Worker Preferences for a Mental Health App Within Male-Dominated Industries: Participatory Study

Dorian Peters, Mark Deady, Nick Glozier, Samuel Harvey, Rafael A Calvo

JMIR Ment Health 2018;5(2):e30

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Co-Designing a Web-Based Decision Aid Tool for Employees Disclosure of Mental Health Conditions: A Participatory Study Design Using Employee and Organizational Preferences

As every country has specific requirements, we developed the content specific for use in Australia.Participatory Design ProcessThe workshops followed the design of Peters et al [19], including individual, whole group, and small group participatory design activities

Elizabeth Stratton, Isabella Choi, Dorian Peters, Rafael A Calvo, Samuel B Harvey, Nicholas Glozier

JMIR Form Res 2020;4(11):e23337

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Exploring User Needs and Preferences for Mobile Apps for Sleep Disturbance: Mixed Methods Study

Melissa Aji, Christopher Gordon, Dorian Peters, Delwyn Bartlett, Rafael A Calvo, Khushnood Naqshbandi, Nick Glozier

JMIR Ment Health 2019;6(5):e13895

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Young People’s Preferences for an Asthma Self-Management App Highlight Psychological Needs: A Participatory Study

Dorian Peters, Sharon Davis, Rafael Alejandro Calvo, Susan M Sawyer, Lorraine Smith, Juliet M Foster

J Med Internet Res 2017;19(4):e113

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Preliminary Effectiveness of a Smartphone App to Reduce Depressive Symptoms in the Workplace: Feasibility and Acceptability Study

Mark Deady, David Johnston, David Milne, Nick Glozier, Dorian Peters, Rafael Calvo, Samuel Harvey

JMIR Mhealth Uhealth 2018;6(12):e11661

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Combining Contextualized Embeddings and Prior Knowledge for Clinical Named Entity Recognition: Evaluation Study

models.Figure 2Log-likelihood of the forward and backward directions language models.Where θx represents the token representation layer, θs represents the Softmax layer, and LSTM and LSTM represent the forward and backward directions of the LSTM layer.In 2017, Peters

Min Jiang, Todd Sanger, Xiong Liu

JMIR Med Inform 2019;7(4):e14850

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Multi-Level Representation Learning for Chinese Medical Entity Recognition: Model Development and Validation

For example, Peters et al [12] explicitly showed that the lower layer fits into the local semantic relationships, the higher layer is suitable for longer-range relationships, and the final layer specializes in the language model.

Zhichang Zhang, Lin Zhu, Peilin Yu

JMIR Med Inform 2020;8(5):e17637

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Smartphone and Internet Access and Utilization by People With Schizophrenia in South Australia: Quantitative Survey Study

In addition to the NART, this study’s interview consisted of Peters et al Delusions Inventory 21 [23], which measures delusion proneness.

Kwok Tung Gordon Wong, Dennis Liu, Ryan Balzan, Daniel King, Cherrie Galletly

JMIR Ment Health 2020;7(1):e11551

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The Effectiveness of Digital Health Interventions in the Management of Musculoskeletal Conditions: Systematic Literature Review

Pozo-Cruz et al [23-25]1005050—45.5 (7.02)46.83 (9.13)—11: 8915:85—Irvine et al [26]597199199g199h———37:6342:58g41:59hKrein et al [27]229118111—51.9 (12.8)51.2 (12.5)—86:1489:11—Marangoni [28]682322i23j—————Mecklenberg et al [29]12554101—47 (12)46 (12)—74:2657:43—Peters

Stephanie Hewitt, Ruth Sephton, Gillian Yeowell

J Med Internet Res 2020;22(6):e15617

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Considerations for an Access-Centered Design of the Fever Thermometer in Low-Resource Settings: A Literature Review

In the framework of Peters et al [50], for example, these two dimensions are merged and are therefore less adequate in circumstances where incomplete or unsuitable health care facilities are located nearby health care seekers.

Rikako Iwamoto, Ana Laura Rodrigues Santos, Niels Chavannes, Ria Reis, Jan Carel Diehl

JMIR Hum Factors 2017;4(1):e3

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