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Research on Medical Text Classification Based on Improved Capsule Network

https://doi.org/10.3390/electronics11142229

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10115-006-0013-yopenalex-snapshot

Using discriminant analysis for multi-class classification: an experimental investigation

inferredcites →https://doi.org/10.1007/s42979-020-0076-yopenalex-snapshot

Sentiment Analysis Using Gated Recurrent Neural Networks

inferredcites →https://doi.org/10.1016/j.ijmedinf.2019.05.019openalex-snapshot

Extractive summarization of clinical trial descriptions

inferredcites →https://doi.org/10.1016/j.jbi.2014.01.009openalex-snapshot

Clustering clinical trials with similar eligibility criteria features

inferredcites →https://doi.org/10.1016/j.neucom.2019.07.052openalex-snapshot

Improving text classification with weighted word embeddings via a multi-channel TextCNN model

inferredcites →https://doi.org/10.1016/j.neunet.2019.06.014openalex-snapshot

Investigating the transferring capability of capsule networks for text classification

inferredcites →https://doi.org/10.1016/j.physd.2019.132306openalex-snapshot

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

inferredcites →https://doi.org/10.1093/bib/bbv024openalex-snapshot

Community challenges in biomedical text mining over 10 years: success, failure and the future

inferredcites →https://doi.org/10.1093/bioinformatics/btx761openalex-snapshot

An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition

inferredcites →https://doi.org/10.1093/database/baz034openalex-snapshot

Building deep learning models for evidence classification from the open access biomedical literature

inferredcites →https://doi.org/10.1093/jamia/ocx160openalex-snapshot

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research*

inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot

Gradient-based learning applied to document recognition

inferredcites →https://doi.org/10.1109/access.2020.3009058openalex-snapshot

Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classification in Tweets of Dengue Disease

inferredcites →https://doi.org/10.1197/jamia.m3119openalex-snapshot

Electronic Screening Improves Efficiency in Clinical Trial Recruitment

inferredcites →https://doi.org/10.12068/j.issn.1005-3026.2020.07.005openalex-snapshot

An Improved Medical Text Classification Model: LS-GRU

inferredcites →https://doi.org/10.12928/telkomnika.v19i3.18357openalex-snapshot

Bigram feature extraction and conditional random fields model to improve text classification clinical trial document

inferredcites →https://doi.org/10.18653/v1/e17-1096openalex-snapshot

Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis

inferredcites →https://doi.org/10.18653/v1/n16-1174openalex-snapshot

Hierarchical Attention Networks for Document Classification

inferredcites →https://doi.org/10.18653/v1/w19-3517openalex-snapshot

Detecting Aggression and Toxicity using a Multi Dimension Capsule Network

inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot

Convolutional Neural Networks for Sentence Classification

inferredcites →https://doi.org/10.3115/v1/p15-1150openalex-snapshot

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Prompt Tuning Method for Chinese Medical Text Classification

inferred← citeshttps://doi.org/10.1007/s11227-023-05612-6openalex-snapshot

A medical text classification approach with ZEN and capsule network

inferred← citeshttps://doi.org/10.1109/icdsca59871.2023.10392796openalex-snapshot

GDEMO-HAT: Knowledge-guided Medical Text Classification Using Heterogeneous Graph-based Dependency Modeling with Hierarchical Attention

inferred← citeshttps://doi.org/10.1109/iv60283.2023.00049openalex-snapshot

NLP for Enterprise Asset Management: An Emerging Paradigm

inferred← citeshttps://doi.org/10.1111/exsy.13310openalex-snapshot

An interpretable diagnostic approach for lung cancer: Combining maximal clique and improved BERT

inferred← citeshttps://doi.org/10.11591/ijres.v13.i1.pp217-226openalex-snapshot

Telugu letters dataset and parallel deep convolutional neural network with a SGD optimizer model for TCR

inferred← citeshttps://doi.org/10.22214/ijraset.2024.62465openalex-snapshot

Medical Symptom Text Classification through NLP in Healthcare

inferred← citeshttps://doi.org/10.33411/ijist/1089openalex-snapshot

Medical Intent Classification Using Ensemble and Deep Learning Models

inferred← citeshttps://doi.org/10.3389/fmed.2025.1519280openalex-snapshot

Medical short text classification via Soft Prompt-tuning

inferred← citeshttps://doi.org/10.3389/fphy.2024.1445204openalex-snapshot

Advancements and gaps in natural language processing and machine learning applications in healthcare: a comprehensive review of electronic medical records and medical imaging

inferred← citeshttps://doi.org/10.3390/info13100499openalex-snapshot

Natural Language Processing Techniques for Text Classification of Biomedical Documents: A Systematic Review

inferred← citeshttps://doi.org/10.3390/info13120581openalex-snapshot

Medical QA Oriented Multi-Task Learning Model for Question Intent Classification and Named Entity Recognition

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