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Widespread use of Internet and mobile technologies provides opportunities to gather health-related information to complement data generated through traditional healthcare and public health systems. These personally generated data (PGD) are increasingly viewed as informative of the patient experience of conditions, symptoms, treatments, and side effects.1 Behavior, sentiment, and disease patterns can be discerned from mining unstructured PGD in text, image, or metadata form, and from analyzing PGD collected via structured, opt-in, and web-enabled platforms and devices, including wearables.
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Chunara et al. (2016) studied this question.
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