Leveraging Machine Learning Methods in Predicting and Analyzing the Association Between Dietary Inflammatory Index and Alopecia

    Mohammed Sarwat M Salih, Hawal Lateef Fateh, Soran A. Pasha, Hassan M Tawfiq
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    Studysummary This study found that higher Dietary Inflammatory Index scores were significantly associated with an increase in both the occurrence and severity of alopecia areata.
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    This study explores the link between the dietary inflammatory index (DII) and alopecia areata (AA) using machine learning models such as K-Nearest Neighbors, Logistic Regression, and Random Forest. It was found that higher DII scores, which reflect a more inflammatory diet, are significantly associated with a greater risk and severity of AA. The Random Forest model demonstrated the highest accuracy at 98.77%. These results suggest that inflammatory dietary patterns may affect AA, indicating possible dietary intervention strategies for managing the condition.
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