Letters of recommendations and personal statements for rhinology fellowship: A deep learning linguistic analysis
Author:
Affiliation:
1. Department of Otolaryngology Icahn School of Medicine at Mount Sinai New York New York USA
Publisher
Wiley
Subject
Otorhinolaryngology,Immunology and Allergy
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/alr.23153
Reference9 articles.
1. Factors Important in the Selection of a Rhinology/Skull Base Surgery Fellow: A National Survey of Fellowship Directors
2. The Current State of the Otolaryngology Workforce
3. Fellowship training in rhinology: American Rhinologic Society survey of U.S. graduates
4. FastE ChenB BernsteinMS Empath: Understanding Topic Signals in Large‐Scale Text. In:Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems.ACM;2016:4647‐4657. doi:10.1145/2858036.2858535
5. Selection factors important in the rhinology fellowship match: A survey study of fellows and fellowship directors
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1. Gender Differences in Letters of Recommendations and Personal Statements for Neurotology Fellowship over 10 Years: A Deep Learning Linguistic Analysis;Otology & Neurotology;2024-07-25
2. Gender‐based linguistic differences in letters of recommendation for rhinology fellowship over time: A dual‐institutional follow‐up study using natural language processing and deep learning;International Forum of Allergy & Rhinology;2024-07-16
3. Machine Learning for Predictive Analysis of Otolaryngology Residency Letters of Recommendation;The Laryngoscope;2024-04-11
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