Deep Learning for Predictive Analysis of Pediatric Otolaryngology Personal Statements: A Pilot Study.

Yeshwant Reddy ChillakuruDiego A PreciadoJeremy ChaHannah MannHengameh K BehzadpourAlexandra Genevieve Espinel

Published in: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery (2022)

We demonstrate ability for document embeddings to capture meaningful information in personal statements from pediatric otolaryngology fellowship applicants. A larger study can further differentiate personal statement clusters and assess the predictive potential of document embeddings.

Keyphrases

deep learning
healthcare
machine learning
artificial intelligence
health information
convolutional neural network
social media