# Predicting risk of dyslexia with an online gamified test

## TL;DR

This paper presents an online gamified test combined with machine learning to effectively screen for dyslexia, achieving over 80% accuracy in a large participant study and demonstrating robustness across different environments and age groups.

## Contribution

It introduces a novel online gamified dyslexia screening tool and a predictive model validated on large datasets, showing high accuracy and robustness.

## Key findings

- Over 80% detection accuracy in initial study
- Recall over 72% on a new dataset with different environment
- Screening tool used by more than 200,000 people

## Abstract

Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spanish. To make detecting dyslexia easier, we designed an online gamified test and a predictive machine learning model. In a study with more than 3,600 participants, our model correctly detected over 80% of the participants with dyslexia. To check the robustness of the method we tested our method using a new data set with over 1,300 participants with age customized tests in a different environment -- a tablet instead of a desktop computer -- reaching a recall of over 72% for the class with dyslexia for children 9 years old or older. Our work shows that dyslexia can be screened using a machine learning approach. An online screening tool based on our methods has already been used by more than 200,000 people.