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Big Data in Oncology Nursing Research: State of the Science
11 references·0 citing·52 second hop
Big Data in Oncology Nursing Research: State of the Science (2023)Big Data in Oncology Nursing Research: St…Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study (2023)Long-term participant retenti…Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire (2020)Threats of Bots and Other Bad…Latent bias and the implementation of artificial intelligence in medicine (2020)Latent bias and the implement…Big data in healthcare: management, analysis and future prospects (2019)Big data in healthcare: manag…Using Mobile Apps to Assess and Treat Depression in Hispanic and Latino Populations: Fully Remote Randomized Clinical Trial (2018)Using Mobile Apps to Assess a…Ethical Issues in Social Media Research for Public Health (2018)Ethical Issues in Social Medi…Big Data Analytics in Medicine and Healthcare (2018)Big Data Analytics in Medicin…Big Data and Nursing: Implications for the Future (2017)Big Data and Nursing: Implica…The Big Data Value Chain: Definitions, Concepts, and Theoretical Approaches (2016)The Big Data Value Chain: Def…Nursing Needs Big Data and Big Data Needs Nursing (2015)Nursing Needs Big Data and Bi…A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication (2013)A New Dimension of Health Car…Best care at lower cost: the path to continuously learning health care in America (2014)Big data science: A literature review of nursing research exemplars (2016)The disruptive power of Artificial Intelligence. 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(2024)Detecting, Preventing, and Responding to “Fraudsters” in Internet Research: Ethics and Tradeoffs (2015)The Use of Social Media in Recruitment for Medical Research Studies: A Scoping Review (2016)The Use of Facebook in Recruiting Participants for Health Research Purposes: A Systematic Review (2017)Ensuring survey research data integrity in the era of internet bots (2021)Innovations in Sampling: Improving the Appropriateness and Quality of Samples in Organizational Research (2022)Threats to Online Surveys: Recognizing, Detecting, and Preventing Survey Bots (2022)The PHQ-8 as a measure of current depression in the general population (2008)Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms. (2017)Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis (2023)Quantifying digital health inequality across a national healthcare system (2023)User perceptions and utilisation of features of an AI-enabled workplace digital mental wellness platform ‘mindline at work’ (2024)National strategic artificial intelligence plans: A multi-dimensional analysis (2020)Representation Bias in Data: A Survey on Identification and Resolution Techniques (2023)AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact (2024)
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References

  • 2013A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication2,515 cited
  • 2019Big data in healthcare: management, analysis and future prospects1,747 cited
  • 2018Big Data Analytics in Medicine and Healthcare376 cited
  • 2020Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire314 cited
  • 2016The Big Data Value Chain: Definitions, Concepts, and Theoretical Approaches217 cited
  • 2015Nursing Needs Big Data and Big Data Needs Nursing199 cited
  • 2020Latent bias and the implementation of artificial intelligence in medicine197 cited
  • 2018Ethical Issues in Social Media Research for Public Health131 cited
  • 2018Using Mobile Apps to Assess and Treat Depression in Hispanic and Latino Populations: Fully Remote Randomized Clinical Trial120 cited
  • 2023Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study56 cited
  • 2017Big Data and Nursing: Implications for the Future52 cited

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