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Barriers to and Facilitators of Engagement With Remote Measurement Technology for Managing Health: Systematic Review and Content Analysis of Findings
Barriers to and Facilitators of Engagement With Remote Measurement Technology for Managing Health: Systematic Review and Content Analysis of Findings
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Barriers to and Facilitators of Engagement With Remote Measurement Technology for Managing Health: Systematic Review and Content Analysis of Findings

Simblett, Sara ; Greer, Ben ; Matcham, Faith ; Curtis, Hannah ; Polhemus, Ashley ; Ferrão, José ; Gamble, Peter ; Wykes, Til

Journal of medical Internet research, 2018-07, Vol.20 (7), p.e10480-e10480 [Periódico revisado por pares]

Canada: Journal of Medical Internet Research

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2
Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey
Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey
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Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey

Zhang, Yiyu ; Liu, Chaoyuan ; Luo, Shuoming ; Xie, Yuting ; Liu, Fang ; Li, Xia ; Zhou, Zhiguang

Journal of medical Internet research, 2019-08, Vol.21 (8), p.e15023-e15023 [Periódico revisado por pares]

Canada: Gunther Eysenbach MD MPH, Associate Professor

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3
Young People's Use of Digital Health Technologies in the Global North: Narrative Review
Young People's Use of Digital Health Technologies in the Global North: Narrative Review
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Young People's Use of Digital Health Technologies in the Global North: Narrative Review

Lupton, Deborah

Journal of medical Internet research, 2021-01, Vol.23 (1), p.e18286-e18286 [Periódico revisado por pares]

Canada: Gunther Eysenbach MD MPH, Associate Professor

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4
Trends and Predictors of Use of Digital Health Technology in the United States
Trends and Predictors of Use of Digital Health Technology in the United States
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Trends and Predictors of Use of Digital Health Technology in the United States

Mahajan, Shiwani ; Lu, Yuan ; Spatz, Erica S. ; Nasir, Khurram ; Krumholz, Harlan M.

The American journal of medicine, 2021-01, Vol.134 (1), p.129-134 [Periódico revisado por pares]

United States: Elsevier Inc

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5
Baby boomers' adoption of consumer health technologies: survey on readiness and barriers
Baby boomers' adoption of consumer health technologies: survey on readiness and barriers
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Baby boomers' adoption of consumer health technologies: survey on readiness and barriers

LeRouge, Cynthia ; Van Slyke, Craig ; Seale, Deborah ; Wright, Kevin

Journal of medical Internet research, 2014-09, Vol.16 (9), p.e200-e200 [Periódico revisado por pares]

Canada: Journal of Medical Internet Research

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6
Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey
Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey
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Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey

Tavares, Jorge ; Oliveira, Tiago

Journal of medical Internet research, 2016-03, Vol.18 (3), p.e49-e49 [Periódico revisado por pares]

Canada: Journal of Medical Internet Research

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7
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
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A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

Wang, Xinggang ; Deng, Xianbo ; Fu, Qing ; Zhou, Qiang ; Feng, Jiapei ; Ma, Hui ; Liu, Wenyu ; Zheng, Chuansheng

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2615-2625

United States: IEEE

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8
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning
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Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning

Kang, Hengyuan ; Xia, Liming ; Yan, Fuhua ; Wan, Zhibin ; Shi, Feng ; Yuan, Huan ; Jiang, Huiting ; Wu, Dijia ; Sui, He ; Zhang, Changqing ; Shen, Dinggang

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2606-2614

United States: IEEE

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9
Provider Implicit Bias Impacts Pediatric Type 1 Diabetes Technology Recommendations in the United States: Findings from The Gatekeeper Study
Provider Implicit Bias Impacts Pediatric Type 1 Diabetes Technology Recommendations in the United States: Findings from The Gatekeeper Study
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Provider Implicit Bias Impacts Pediatric Type 1 Diabetes Technology Recommendations in the United States: Findings from The Gatekeeper Study

Addala, Ananta ; Hanes, Sarah ; Naranjo, Diana ; Maahs, David M. ; Hood, Korey K.

Journal of diabetes science and technology, 2021-09, Vol.15 (5), p.1027-1033 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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10
The sleep and technology use of Americans: findings from the National Sleep Foundation's 2011 Sleep in America poll
The sleep and technology use of Americans: findings from the National Sleep Foundation's 2011 Sleep in America poll
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The sleep and technology use of Americans: findings from the National Sleep Foundation's 2011 Sleep in America poll

Gradisar, Michael ; Wolfson, Amy R ; Harvey, Allison G ; Hale, Lauren ; Rosenberg, Russell ; Czeisler, Charles A

Journal of clinical sleep medicine, 2013-12, Vol.9 (12), p.1291-1299

United States: American Academy of Sleep Medicine

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