Publications by authors named "Xuan-Vi Trinh"

Background: Upper and lower blepharoplasty are among the most common procedures in aesthetic surgery and are often emotionally laden due to the subjective nature of outcomes and implications with beauty and self-identity. This article capitalizes on the increasing wealth of patient-provided health information online and is the first to analyze the emotions surrounding blepharoplasty discussions in an open internet health forum, MedHelp.

Methods: We used Python to scrape MedHelp for threads that contained "blepharoplasty" and then used IBM Watson Natural Language Understanding to perform sentiment analyses, calculating a general sentiment score (-1 to +1) as well as emotion scores for anger, sadness, joy, fear, and disgust (0 to 1) for posts and keywords contained within the posts.

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Gender disparity in the field of neurology impedes scientific advancements and innovations. In 2018, 45.0% of neurology and neurological subspecialty residents were women.

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Purpose: To assess the gender distribution of major ophthalmology society award recipients DESIGN: Retrospective, observational study METHODS: The study population included award recipients from 9 ophthalmologic societies: American Academy of Ophthalmology, American Association for Pediatric Ophthalmology and Strabismus, American Glaucoma Society, American Society of Cataract and Refractive Surgery (ASCRS), American Society of Ophthalmic Plastic and Reconstructive Surgery, American Society of Retina Specialists, American Uveitis Society, Cornea Society, and North American Neuro-Ophthalmology Society. A gender-specific pronoun and a photograph of each award recipient were extracted from professional websites to assign their gender. Main outcome measures were gender distribution by award society, year (1970-2020), type (lectureship or not), category (achievement, education, research contribution, research item, international member achievement, public service-global health, service to society), and training level.

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Background: Clinical data in social media are an underused source of information with great potential to allow for a deeper understanding of patient values, attitudes, and preferences.

Objective: This tutorial aims to describe a novel, robust, and modular method for the sentiment analysis and emotion detection of free text from web-based forums and the factors to consider during its application.

Methods: We mined the discussion and user information of all posts containing search terms related to a medical subspecialty (oculoplastics) from MedHelp, the largest web-based platform for patient health forums.

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Background: The COVID-19 pandemic increased the gender gap in academic publishing. This study assesses COVID-19's impact on ophthalmology gender authorship distribution and compares the gender authorship proportion of COVID-19 ophthalmology-related articles to previous ophthalmology articles.

Methods: This cohort study includes authors listed in all publications related to ophthalmology in the COVID-19 Open Research Dataset and CDC COVID-19 research database.

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