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Caveats of Using Social Media Data for Medical Research: A Report from a Study on Eye-Related Symptoms in Tweets.

, , , , , and . AMIA, AMIA, (2015)

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Transition and Reflection in the Use of Health Information: The Case of Pediatric Bone Marrow Transplant Caregivers., , , , , and . CSCW, page 1763-1774. ACM, (2015)International electronic health record-derived post-acute sequelae profiles of COVID-19 patients., , , , , , , , , and 48 other author(s). npj Digit. Medicine, (2022)Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data., , , , , , , , , and 31 other author(s). J. Am. Medical Informatics Assoc., 28 (7): 1411-1420 (2021)Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks., , , , , , , and . J. Biomed. Informatics, (2021)Dialogue Analysis for Clinical Data Query Mediation., , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1398-1402. IOS Press, (2019)Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction., , , , , and . ICHI Workshops, page 66-67. IEEE Computer Society, (2018)Paper versus EHR: simplistic comparisons may not capture current reality., and . J. Am. Medical Informatics Assoc., 22 (e1): e219-e220 (2015)A data-driven concept schema for defining clinical research data needs., , , , , and . Int. J. Medical Informatics, (2016)Identifying unmet informational needs in the inpatient setting to increase patient and caregiver engagement in the context of pediatric hematopoietic stem cell transplantation., , , and . JAMIA, 23 (1): 94-104 (2016)Using the time and motion method to study clinical work processes and workflow: methodological inconsistencies and a call for standardized research., , and . JAMIA, 18 (5): 704-710 (2011)