Publication: Challenges and best practices for digital unstructured data enrichment in health research: a systematic narrative review
Challenges and best practices for digital unstructured data enrichment in health research: a systematic narrative review
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Sedlakova, J., Daniore, P., Horn Wintsch, A., Wolf, M., Stanikic, M., Haag, C., Sieber, C., Schneider, G., Staub, K., Ettlin, D. A., Grübner, O., Rinaldi, F., & von Wyl, V. (2022). Challenges and best practices for digital unstructured data enrichment in health research: a systematic narrative review (No. 22278137; MedRxiv). https://doi.org/10.1101/2022.07.28.22278137
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Digital data play an increasingly important role in advancing medical research and care. However, most digital data in healthcare are in an unstructured and often not readily accessible format for research. Specifically, unstructured data are available in a non-standardized format and require substantial preprocessing and feature extraction to translate them to meaningful insights. This might hinder their potential to advance health research, prevention, and patient care delivery, as these processes are resource intensive and connecte
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Publications of Digital Society Initiative
Publications of Dynamics of Healthy Aging
Publications of Institute of Biomedical Ethics and History of Medicine
Publications of Institute of Computational Linguistics
Publications of Institute of Evolutionary Medicine
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Sedlakova, J., Daniore, P., Horn Wintsch, A., Wolf, M., Stanikic, M., Haag, C., Sieber, C., Schneider, G., Staub, K., Ettlin, D. A., Grübner, O., Rinaldi, F., & von Wyl, V. (2022). Challenges and best practices for digital unstructured data enrichment in health research: a systematic narrative review (No. 22278137; MedRxiv). https://doi.org/10.1101/2022.07.28.22278137
