End-to-end transformer-based models in textual-based NLP
A Rahali, MA Akhloufi - AI, 2023 - mdpi.com
Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …
A review of converging technologies in eHealth pertaining to artificial intelligence
Over the last couple of years, in the context of the COVID-19 pandemic, many healthcare
issues have been exacerbated, highlighting the paramount need to provide both reliable …
issues have been exacerbated, highlighting the paramount need to provide both reliable …
[HTML][HTML] Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep …
Background Prior research has associated spoken language use with depression, yet
studies often involve small or non-clinical samples and face challenges in the manual …
studies often involve small or non-clinical samples and face challenges in the manual …
The moral economy of the great resignation
G Varavallo, G Scarpetti, F Barbera - Humanities and Social Sciences …, 2023 - nature.com
Abstract The “Great Resignation” or “The Big Quit” represents a significant shift in people's
importance of employment. In September 2021, US Department of Labor data revealed that …
importance of employment. In September 2021, US Department of Labor data revealed that …
Determinants of outpatient substance use disorder treatment length-of-stay and completion: the case of a treatment program in the southeast US
Successful outcomes of outpatient substance use disorder treatment result from many
factors for clients—including intersections between individual characteristics, choices made …
factors for clients—including intersections between individual characteristics, choices made …
[PDF][PDF] Transformer-based Topic Modeling to Measure the Severity of Eating Disorder Symptoms.
DN Grigore, I Pintilie - CLEF (Working Notes), 2023 - ceur-ws.org
In this paper, we describe a topic-driven approach for detecting the severity of eating
disorder symptoms. We extract more task relevant embeddings with the help of a …
disorder symptoms. We extract more task relevant embeddings with the help of a …
Text mining of verbal autopsy narratives to extract mortality causes and most prevalent diseases using natural language processing
Verbal autopsy (VA) narratives play a crucial role in understanding and documenting the
causes of mortality, especially in regions lacking robust medical infrastructure. In this study …
causes of mortality, especially in regions lacking robust medical infrastructure. In this study …
Navigating the Landscape of Telemedicine Research: A Topic Modeling Approach for the Present and Future
Introduction: Telemedicine, which is the provision of remote clinical services via
telecommunication technology, has undergone an upsurge since the COVID-19 pandemic …
telecommunication technology, has undergone an upsurge since the COVID-19 pandemic …
Precision Digital Health
Accounting for individual and situational heterogeneity (ie, precision) is now an important
area of research and treatment in the field of medicine. This essay argues that precision …
area of research and treatment in the field of medicine. This essay argues that precision …
Navigating the Digital Neurolandscape: Analyzing the Social Perception of and Sentiments Regarding Neurological Disorders through Topic Modeling and …
J Domingo-Espiñeira, O Fraile-Martínez… - Information, 2024 - mdpi.com
Neurological disorders represent the primary cause of disability and the secondary cause of
mortality globally. The incidence and prevalence of the most notable neurological disorders …
mortality globally. The incidence and prevalence of the most notable neurological disorders …