Machine learning predicts long COVID risk from clinical data, suggesting improved assessment methods.
Our study demonstrates the feasibility of using machine learning to predict long COVID based on early clinical and laboratory data. While individual biomarkers alone may have limited predictive value, their combination enhances risk assessment for long COVID. Future studies should focus on refining the model and validating it in broader populations, including those with milder COVID-19 forms, to improve its accuracy and clinical utility.
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Alonso-Domínguez et al. (2025) studied this question.
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