Machine Learning Approach to Analyzing Patient Questions About Facial Feminization
Author:
Affiliation:
1. Department of Surgery, Division of Plastic and Reconstructive Surgery, Rutgers New Jersey Medical School, Newark, NJ, USA
2. Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark, NJ, USA
Publisher
Oxford University Press (OUP)
Subject
General Medicine,Surgery
Link
http://academic.oup.com/asj/advance-article-pdf/doi/10.1093/asj/sjab249/38919273/sjab249.pdf
Reference6 articles.
1. Facial feminization: systematic review of the literature;Morrison;Plast Reconstr Surg,2016
2. Prospective quality-of-life outcomes after facial feminization surgery: an international multicenter study;Morrison;Plast Reconstr Surg,2020
3. Facial feminization surgery changes perception of patient gender;Fisher;Aesthet Surg J.,2020
4. Is there an increasing interest in facial feminization surgery? A search trends analysis;Teixeira;J Craniofac Surg,2020
5. Characterizing patient questions before and after rhinoplasty on social media: a big data approach;Tseng;Aesthetic Plast Surg,2021
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1. Machine learning analysis of online patient questions regarding breast reconstruction;Journal of Plastic, Reconstructive & Aesthetic Surgery;2024-03
2. The Power of Personal Pronouns to Encourage Diversity and Inclusion;Aesthetic Surgery Journal;2022-04-12
3. Applying Machine Learning to Determine Popular Patient Questions About Mentoplasty on Social Media;Aesthetic Plastic Surgery;2022-02-24
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