Giving a Voice to Patients With Smell Disorders Associated With COVID-19: Cross-Sectional Longitudinal Analysis Using Natural Language Processing of Self-Reports.
Nick S MengerArnaud TognettiMichael C FarruggiaCarla MucignatSurabhi BhutaniKeiland W CooperPaloma Paloma DomínguezThomas HeinbockelVonnie D C ShieldsAnna D'ErricoVeronica Pereda-CamposDenis PierronSachiko KoyamaIlja CroijmansPublished in: JMIR public health and surveillance (2024)
Our work shows consistent findings with those of previous studies, which indicate that self-reports, which can easily be extracted online, may offer valuable information to health care and understanding of smell disorders. At the same time, our study on self-reports provides new insights for future studies investigating smell disorders.