Extracting big data from the internet to support the development of a new patient-reported outcome measure for breast implant illness: a proof of concept study.
In: Qual Life Res, 2024
academicJournal
Zugriff:
Individuals with health conditions often use online patient forums to share their experiences. These patient data are freely available and have rarely been used in patient-reported outcomes (PRO) research. Web scraping, the automated identification and coding of webpage data, can be employed to collect patient experiences for PRO research. The objective of this study was to assess the feasibility of using web scraping to support the development of a new PRO measure for breast implant illness (BII).
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Extracting big data from the internet to support the development of a new patient-reported outcome measure for breast implant illness: a proof of concept study.
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Autor/in / Beteiligte Person: | Hu, Sophia ; Liu, Jinjie ; Cornacchi, Sylvie D ; Klassen, Anne F ; Pusic, Andrea L ; Kaur, Manraj N |
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Zeitschrift: | Qual Life Res, 2024 |
Veröffentlichung: | Springer, 2024 |
Medientyp: | academicJournal |
DOI: | 10.1007/s11136-024-03672-6 |
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