Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant concern » significant economic (Expand Search)
significant level » significance level (Expand Search), significance levels (Expand Search), significant gender (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant concern » significant economic (Expand Search)
significant level » significance level (Expand Search), significance levels (Expand Search), significant gender (Expand Search)
-
81
-
82
-
83
-
84
-
85
-
86
-
87
-
88
-
89
S1 File -
Published 2025“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. …”
-
90
Confusion matrix for ClinicalBERT model.
Published 2025“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. …”
-
91
Confusion matrix for LastBERT model.
Published 2025“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. …”
-
92
Student model architecture.
Published 2025“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. …”
-
93
Configuration of the LastBERT model.
Published 2025“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. …”
-
94
Confusion matrix for DistilBERT model.
Published 2025“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. …”
-
95
ROC curve for LastBERT model.
Published 2025“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. …”
-
96
Sample Posts from the ADHD dataset.
Published 2025“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. …”
-
97
Row data.
Published 2025“…Moreover, Life Sciences & Medicine students demonstrated a greater tendency toward negative self-perception, low psychological well-being level, and decreased creative self-efficacy, compared to peers in other disciplines.…”
-
98
Univariate linear regression analysis of scales.
Published 2025“…Moreover, Life Sciences & Medicine students demonstrated a greater tendency toward negative self-perception, low psychological well-being level, and decreased creative self-efficacy, compared to peers in other disciplines.…”
-
99
S1 Dataset -
Published 2024“…<div><p>Interpersonal violence is a significant public health and human rights concern. …”
-
100
Types of Bayesian spatiotemporal models.
Published 2024“…<div><p>Human rabies is a prevalent issue in China, posing a significant public health concern in the country. This study fitted the Bayesian model of separable in spatial and temporal variation and inseparable spatiotemporal variation in disease risk respectively based on Integrated Nested Laplace Approximation (INLA) to investigate the spatiotemporal characteristics of human rabies across 31 provinces in China from 2004 to 2020. …”