Using machine learning to modify and enhance the daily living questionnaire.

Unlabelled: The Daily Living Questionnaire (DLQ) constitutes one of a number of functional cognitive measures, commonly employed in a range of medical and rehabilitation settings. One of the drawbacks of the DLQ is its length which poses an obstacle to conducting efficient and widespread screening of the public and which incurs inaccuracies due to the length and fatigue of the subjects.

Objective: This study aims to use Machine Learning (ML) to modify and abridge the DLQ without compromising its fidelity and accuracy.