e.g. mhealth
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Skip search results from other journals and go to results- 40 Journal of Medical Internet Research
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Similar issues are noticed in studies using crowdsourcing platforms to collect data [17]. Selection bias with wearables is a significant issue due to differences in access [18,19], which in turn can lead to differences in sharing data for research [20]. Both accessibility and self-selection could lead to lower study sample diversity for race and socioeconomic status.
J Med Internet Res 2025;27:e51955
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crowdsourcingCrowdsourcing Adverse Events Associated With Monoclonal Antibodies Targeting Calcitonin Gene–Related
JMIR Form Res 2024;8:e58176
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crowdsourcingCrowdsourcing and Mechanical Turks
J Med Internet Res 2024;26:e49704
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Amazon MTurk is a web-based crowdsourcing marketplace in which businesses and researchers post tasks for registered MTurk workers to complete. Qualtrics Panels is a market research panel platform managed by Qualtrics that recruits participants to complete surveys.
Qualtrics Panel participants were recruited from various web-based sources, including website intercept recruitment, member referrals, targeted email lists, gaming sites, customer loyalty web portals, permission-based networks, and social media.
J Med Internet Res 2024;26:e55164
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We recruited a pool of 985 participants from Prolific, a crowdsourcing platform that connects researchers with survey respondents for high-quality data collection. Participants across the studies were predominantly female and White. All participants on average had high trait empathy and neutral arousal and valence before starting the study. Full demographic distributions across the 4 studies are shown in Table 1. All participants were paid US $12 per hour for their time.
JMIR Ment Health 2024;11:e62679
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The purpose of our study was to use a crowdsourcing approach to investigate individuals’ perceptions of the importance and reasonableness of medication safety behaviors across various age groups. We chose patient portal use as a reference for patient engagement behaviors due to extensive efforts by health care organizations and regulators to encourage this behavior.
Interact J Med Res 2024;13:e58635
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Crowdsourcing, the process of collecting large numbers of unskilled opinions, can improve efficiency, lower costs, and offer high quality in repetitive task completion [8,9]. Crowdsourced approaches to data set labeling are growing in popularity, and beneficial effects of crowdsourcing have been demonstrated in health care–related tasks including biomedical imaging analysis [10-14].
J Med Internet Res 2024;26:e51397
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The health information recommended to users is ranked and presented using crowdsourcing technology based on feedback from users who have similar demographic and medical profiles. This ensures that health information can be delivered to people according to their situations and needs. The methodology can be easily integrated into new or existing health information applications.
JMIR Hum Factors 2024;11:e52027
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The goal of this qualitative study was to uncover recurring themes in a digital World AIDS Day (WAD) crowdsourcing open call for youth responses on how to increase HIVST among Nigerian young people during the COVID-19 pandemic.
Our crowdsourcing open call consisted of a 5-step process including digital crowdsourcing open call, web-based submissions, judging, analysis of themes, and common themes identified (Figure 1) throughout the design and implementation, data collection, and data analysis phases.
JMIR Form Res 2024;8:e46945
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A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health
Crowdsourcing, a term first coined in 2006 [1], is the use of distributed human workers to accomplish a central task. Crowdsourcing exploits the “power of the crowd” to achieve goals that are only feasible with a distributed group of humans collaborating, either explicitly or implicitly, toward a common goal.
J Med Internet Res 2024;26:e51138
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