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Quantifying digital health inequality across a national healthcare system
1 references·1 citing·9 second hop
Quantifying digital health inequality across a national healthcare system (2023)Quantifying digital health inequality acr…Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study (2023)Long-term participant retenti…Artificial intelligence and global health equity (2024)Artificial intelligence and g…The PHQ-9 (2001)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)Big Data in Oncology Nursing Research: State of the Science (2023)Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis (2023)User perceptions and utilisation of features of an AI-enabled workplace digital mental wellness platform ‘mindline at work’ (2024)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Addressing bias in big data and AI for health care: A call for open science (2021)
this work references cited by second hop

References

  • 2023Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study56 cited

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  • 2024Artificial intelligence and global health equity19 cited

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