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Machine Learning tool to be adopted by scientists to identify long-COVID

The Lancet Digital Health published research that informed that XGBoost machine learning models used by the National COVID Cohort Collaborative have proved to be more efficient and accurate in identifying long-COVID. The research findings at The Lancet Digital Health have the potential to improve clinical research which will help healthcare providers to put forth a more effective care regimen to the affected individuals. Since it has been difficult to identify long-COVID, data analysis tools such as N3C have been employed to devise the machine learning tool that is better at detecting symptoms, risk factors, and introducing treatments.

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