2023
DOI: 10.2196/37141
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Using Shopping Data to Improve the Diagnosis of Ovarian Cancer: Computational Analysis of a Web-Based Survey

Abstract: 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 new domain knowledge from women’s experiences, understand how women’s shopping behavior relates to their pathway to the diagnosis of ovarian cancer, and infor… Show more

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Cited by 5 publications
(2 citation statements)
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“…Machine learning and artificial intelligence (AI) offer promise for harnessing readily available data. For example, a recent web-based survey on shopping patterns before an ovarian cancer diagnosis demonstrated how purchases for products linked to potential symptoms can be analyzed using machine learning and employed as a strategy to help diagnose ovarian cancer earlier ( Dolan et al, 2023 ). Also, AI can collate data regarding symptoms, family history, medications, and risk factors, alerting PCPs to potential risk and suggesting evaluation with CA-125 and ultrasound.…”
Section: Early Detectionmentioning
confidence: 99%
“…Machine learning and artificial intelligence (AI) offer promise for harnessing readily available data. For example, a recent web-based survey on shopping patterns before an ovarian cancer diagnosis demonstrated how purchases for products linked to potential symptoms can be analyzed using machine learning and employed as a strategy to help diagnose ovarian cancer earlier ( Dolan et al, 2023 ). Also, AI can collate data regarding symptoms, family history, medications, and risk factors, alerting PCPs to potential risk and suggesting evaluation with CA-125 and ultrasound.…”
Section: Early Detectionmentioning
confidence: 99%
“…They can contain information that provides the possibility for new insights into how diet, alcohol and tobacco consumption, medication of symptoms of various illnesses of the whole populations are related to health outcomes (see Table 1 exemplary study vignettes). Moreover, purchasing patterns, such as over-the-counter medication, can serve as early indicators of underlying health conditions 22,35 .…”
Section: The Value Of Shopping Data For Health Researchmentioning
confidence: 99%