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Leveraging Datathons to Teach AI in Undergraduate Medical Education: Case Study
JMIR Med Educ 2025;11:e63602
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Each feature vector xi consists of binary indicators representing social determinants and clinical and demographic factors that may influence the severity of COVID-19, such as age, preexisting conditions, vital signs, and laboratory test results. These features are shown in Table 1. The feature names are denoted as , where each fj is a natural-language string describing the corresponding attribute.
The task is to predict the binary outcome yi based on the information provided in xi.
JMIR AI 2025;4:e67363
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