Zobrazeno 1 - 10
of 4 134
pro vyhledávání: '"Boussard, A."'
Autor:
Wang, Yuqing, Zhao, Yun, Keller, Sara Alessandra, de Hond, Anne, van Buchem, Marieke M., Pillai, Malvika, Hernandez-Boussard, Tina
The advancement of large language models (LLMs) has demonstrated strong capabilities across various applications, including mental health analysis. However, existing studies have focused on predictive performance, leaving the critical issue of fairne
Externí odkaz:
http://arxiv.org/abs/2406.12033
In this paper, we employ the mathematical framework on Transformers developed by \citet{sander2022sinkformers,geshkovski2023emergence,geshkovski2023mathematical} to explore how variations in attention parameters and initial token values impact the st
Externí odkaz:
http://arxiv.org/abs/2402.15415
In the high-stakes realm of healthcare, ensuring fairness in predictive models is crucial. Electronic Health Records (EHRs) have become integral to medical decision-making, yet existing methods for enhancing model fairness restrict themselves to unim
Externí odkaz:
http://arxiv.org/abs/2402.00955
R\'enyi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration
Pufferfish privacy is a flexible generalization of differential privacy that allows to model arbitrary secrets and adversary's prior knowledge about the data. Unfortunately, designing general and tractable Pufferfish mechanisms that do not compromise
Externí odkaz:
http://arxiv.org/abs/2312.13985
Artificial intelligence and data access are already mainstream. One of the main challenges when designing an artificial intelligence or disclosing content from a database is preserving the privacy of individuals who participate in the process. Differ
Externí odkaz:
http://arxiv.org/abs/2312.07139
Autor:
Boussard, Julien, Nagda, Chandni, Kaltenborn, Julia, Lange, Charlotte Emilie Elektra, Brouillard, Philippe, Gurwicz, Yaniv, Nowack, Peer, Rolnick, David
Climate models, such as Earth system models (ESMs), are crucial for simulating future climate change based on projected Shared Socioeconomic Pathways (SSP) greenhouse gas emissions scenarios. While ESMs are sophisticated and invaluable, machine learn
Externí odkaz:
http://arxiv.org/abs/2312.02858
Mental health care needs of caregivers of people with Alzheimer’s disease from online forum analysis
Autor:
Jiyeong Kim, Zhuo Ran Cai, Michael L. Chen, Shawheen J. Rezaei, Sonia Onyeka, Carolyn I. Rodriguez, Tina Hernandez-Boussard, Vladimir Filkov, Rachel A. Whitmer, Eleni Linos, Yong K. Choi
Publikováno v:
npj Mental Health Research, Vol 3, Iss 1, Pp 1-8 (2024)
Abstract Informal caregivers of people with Alzheimer’s disease and related dementias (ADRD) are at risk of poor mental health. This study aimed to investigate the feasibility and validity of studying caregivers’ mental stressors using online car
Externí odkaz:
https://doaj.org/article/9c727d7c61a640ae961004fe85d84547
Autor:
Sulaiman Somani, Sneha S. Jain, Ashish Sarraju, Alexander T. Sandhu, Tina Hernandez-Boussard, Fatima Rodriguez
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-5 (2024)
Abstract Background The prevalence of obesity has been increasing worldwide, with substantial implications for public health. Obesity is independently associated with cardiovascular morbidity and mortality and is estimated to cost the health system o
Externí odkaz:
https://doaj.org/article/adb7381178a446d5a48a6624f3591aaa
Publikováno v:
BMJ Health & Care Informatics, Vol 31, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/57b7e6c1388341d19b1f7f9e801a5c13
Autor:
Rohith Ravindranath, MS, Joshua D. Stein, MD, MS, Tina Hernandez-Boussard, A. Caroline Fisher, Sophia Y. Wang, MD, MS, Sejal Amin, Paul A. Edwards, Divya Srikumaran, Fasika Woreta, Jeffrey S. Schultz, Anurag Shrivastava, Baseer Ahmad, Paul Bryar, Dustin French, Brian L. Vanderbeek, Suzann Pershing, Anne M. Lynch, Jennifer L. Patnaik, Saleha Munir, Wuqaas Munir, Joshua Stein, Lindsey DeLott, Brian C. Stagg, Barbara Wirostko, Brian McMillian, Arsham Sheybani, Soshian Sarrapour, Kristen Nwanyanwu, Michael Deiner, Catherine Sun, Houston: Robert Feldman, Rajeev Ramachandran
Publikováno v:
Ophthalmology Science, Vol 5, Iss 1, Pp 100596- (2025)
Objective: Despite advances in artificial intelligence (AI) in glaucoma prediction, most works lack multicenter focus and do not consider fairness concerning sex, race, or ethnicity. This study aims to examine the impact of these sensitive attributes
Externí odkaz:
https://doaj.org/article/72052c381fc345feaed3624eb9e59211