Medical text classification using hybrid deep learning models with multihead attention
SK Prabhakar, DO Won - Computational intelligence and …, 2021 - Wiley Online Library
To unlock information present in clinical description, automatic medical text classification is
highly useful in the arena of natural language processing (NLP). For medical text …
highly useful in the arena of natural language processing (NLP). For medical text …
Medical chief complaint classification with hierarchical structure of label descriptions
With rapid growth of online healthcare systems, chief complaint classification plays an
important role in areas such as triage or doctor recommendation. Existing medical text …
important role in areas such as triage or doctor recommendation. Existing medical text …
An efficient regular expression inference approach for relevant image extraction
Traditional approaches for extracting relevant images automatically from web pages are
error-prone and time-consuming. To improve this task, operations such as preparing a larger …
error-prone and time-consuming. To improve this task, operations such as preparing a larger …
Computational peptide discovery with a genetic programming approach
The development of peptides for therapeutic targets or biomarkers for disease diagnosis is a
challenging task in protein engineering. Current approaches are tedious, often time …
challenging task in protein engineering. Current approaches are tedious, often time …
A survey of models for constructing text features to classify texts in natural language
K Lagutina, N Lagutina - 2021 29th Conference of Open …, 2021 - ieeexplore.ieee.org
In this survey we systematize the state-of-the-art features that are used to model texts for text
classification tasks: topical and sentiment classification, authorship attribution, style …
classification tasks: topical and sentiment classification, authorship attribution, style …
Modeling regex operators for solving regex crossword puzzles
Modeling regular expressions (regexes) has been applied in abundant scenes, but at
present, there is a lack of comprehensive modeling for extended operators, which limits their …
present, there is a lack of comprehensive modeling for extended operators, which limits their …
Reimagining Literary Analysis: Utilizing Artificial Intelligence to Classify Modernist French Poetry
L Yang, G Wang, H Wang - Information, 2024 - mdpi.com
Aligned with global Sustainable Development Goals (SDGs) and multidisciplinary
approaches integrating AI with sustainability, this research introduces an innovative AI …
approaches integrating AI with sustainability, this research introduces an innovative AI …
Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching
Efficient truck dispatching is crucial for container port operations. Dynamic container port
truck dispatching, a complex online optimization problem, poses significant challenges due …
truck dispatching, a complex online optimization problem, poses significant challenges due …
Ensemble of Classifiers for Multilabel Clinical Text Categorization in Portuguese
OLV Sousa, DP da Silva, VES Campelo… - … on Intelligent Systems …, 2022 - Springer
The widespread adoption of medical document management has generated a large volume
of unstructured data containing abbreviations, ambiguous terms, and typing errors. These …
of unstructured data containing abbreviations, ambiguous terms, and typing errors. These …