# Stratification of Group A Streptococcal Pharyngitis Children Using Unsupervised Learning

## TL;DR

This study uses unsupervised learning to classify children with strep throat based on symptoms, aiming to improve diagnostic criteria.

## Contribution

The novel use of K-modes clustering to stratify GAS pharyngitis patients by clinical symptoms.

## Key findings

- Two distinct patient clusters were identified based on age and symptoms.
- Older children with lymph node tenderness formed one cluster, while younger children with cough and runny nose formed another.
- The study highlights the difficulty in distinguishing strep throat from colds in young patients.

## Abstract

Background and objectives

Group A Streptococcus (GAS) is the most frequent cause of bacterial pharyngitis, and it is advised to selectively use rapid antigen detection testing (RADT). Currently, the decision to perform this test is based on pediatricians' observations, but the criteria are not well-defined. Therefore, we utilized unsupervised learning to categorize patients based on the clinical manifestations of GAS pharyngitis. Our goal was to pinpoint the clinical symptoms that should prompt further examination and treatment in patients diagnosed with pharyngitis.

Methods

We analyzed categorical data from 305 RADT-positive patients aged three to 15 years using the K-modes clustering method. Each explanatory variable's relationship with cluster variables was statistically examined. Finally, we tested the differences between clusters for continuous variables statistically.

Results

The K-modes method categorized the cases into two clusters. Cluster 1 included older children with lymph node tenderness, while Cluster 2 consisted of younger children with cough and rhinorrhea.

Conclusion

Differentiating streptococcal pharyngitis from common cold or upper respiratory tract infection based on clinical symptoms alone is challenging, particularly in young patients. Future research should focus on identifying indicators that can aid in suspecting streptococcal infection in young patients.