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Chinese Medical Text Classification with RoBERTa
Many existed Chinese text classification solutions are successful, but the gap is that they are also limited by the models applied by themselves, so...
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Predictive Score-Guided Mixup for Medical Text Classification
Text classification aims to classify text into one or more predefined categories based on its characteristics. Although existing methods improve...
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DistilBERT-based Text Classification for Automated Diagnosis of Mental Health Conditions
Mental health disorders present a substantial global health challenge, underscoring the critical importance of timely diagnosis and intervention for...
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Clinical Text Classification in Cancer Real-World Data in Spanish
Healthcare systems currently store a large amount of clinical data, mostly unstructured textual information, such as electronic health records...
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Biomedical semantic text summarizer
BackgroundText summarization is a challenging problem in Natural Language Processing, which involves condensing the content of textual documents...
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Text Data
For a long time, the processing of questions from sports and sports science with informatic methods dealt almost exclusively with numerical data,...
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Predicting drug characteristics using biomedical text embedding
BackgroundDrug–drug interactions (DDIs) are preventable causes of medical injuries and often result in doctor and emergency room visits. Previous...
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Empirical evaluation of language modeling to ascertain cancer outcomes from clinical text reports
BackgroundLongitudinal data on key cancer outcomes for clinical research, such as response to treatment and disease progression, are not captured in...
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Proteostasis networks in aging: novel insights from text-mining approaches
Aging is a topic of paramount importance in an increasingly elderly society and has been the focus of extensive research. Protein homeostasis...
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Analysis adapted from text mining quantitively reveals abrupt and gradual plant-community transitions after fire in sagebrush steppe
ContextPlant communities vary both abruptly and gradually over time but differentiating between types of change can be difficult with existing...
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Exploring the Prognostic Features of Hepatocellular Carcinoma via Text Mining and Data Analysis
AbstractTranscatheter arterial chemoembolization is one of the interventional treatments for hepatocellular carcinoma (HCC). This treatment is...
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Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer
Hierarchical classification offers a more specific categorization of data and breaks down large classification problems into subproblems, providing...
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Time series data modelling for classification of drought in tomato plants
Plants exhibit a regulated physiological activity rendering to various environmental changes. The physiological activity of a plant is recorded in...
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Nondestructive and cost-effective silkworm, Bombyx mori (Lepidoptera: Bombycidae) cocoon sex classification using machine learning
Sericulture is the process of cultivating silkworm cocoons for the production of silks. The quality silk production requires quality seed production...
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Using transfer learning-based plant disease classification and detection for sustainable agriculture
Subsistence farmers and global food security depend on sufficient food production, which aligns with the UN's “Zero Hunger,” “Climate Action,” and...
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Multi-organ Jujube Classification Based on a Visual Attention Mechanism
Jujube variety classification is a challenging task because of the difficulty in identifying discriminant features, making it difficult to find the...
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A multimodal graph neural network framework for cancer molecular subtype classification
BackgroundThe recent development of high-throughput sequencing has created a large collection of multi-omics data, which enables researchers to...
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MetaV: A Pioneer in feature Augmented Meta-Learning Based Vision Transformer for Medical Image Classification
Image classification, a fundamental task in computer vision, faces challenges concerning limited data handling, interpretability, improved feature...
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A comparative analysis of deep learning methods for weed classification of high-resolution UAV images
Because weeds compete directly with crops for moisture, nutrients, space, and sunlight, their monitoring and control is an essential necessity in...
