Using Shopping Data to Improve the Diagnosis of Ovarian Cancer: Computational Analysis of a Web-Based Survey

BACKGROUND: Shopping data can be analyzed using machine learning techniques to study population health. It is unknown if the use of such methods can successfully investigate prediagnosis purchases linked to self-medication of symptoms of ovarian cancer. OBJECTIVE: The aims of this study were to gain...

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Detalles Bibliográficos
Autores principales: Dolan, Elizabeth H, Goulding, James, Tata, Laila J, Lang, Alexandra R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131768/
https://www.ncbi.nlm.nih.gov/pubmed/37000495
http://dx.doi.org/10.2196/37141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131768/
https://www.ncbi.nlm.nih.gov/pubmed/37000495
http://dx.doi.org/10.2196/37141

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