Publications by authors named "Siddharth Basetti"
Objectives: Using electronic health records, we derived and internally validated a prediction model to estimate risk factors for long COVID and predict individual risk of developing long COVID.
Design: Population-based, retrospective cohort study.
Setting: Scotland.
Objectives: The aim of this study was to investigate GPT-3.5 in generating and coding medical documents with International Classification of Diseases (ICD)-10 codes for data augmentation on low-resource labels.
Materials And Methods: Employing GPT-3.
Article Synopsis
- A study conducted in Scotland aimed to determine how common long COVID is among adults and to identify the risk factors linked to its development.
- Out of nearly 4.7 million participants, about 81,219 (1.7%) were found to have long COVID, with various methods yielding different case counts, primarily due to limited overlap among the identification methods.
- Factors associated with a higher likelihood of long COVID included being female, being between 38-67 years old, being overweight or obese, having pre-existing health conditions, being immunosuppressed, shielding from infection, or being hospitalized shortly after testing positive for COVID-19.