On the public citation graph

A Label Attention Model for ICD Coding from Clinical Text

https://doi.org/10.24963/ijcai.2020/461

0 signed · 182 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1016/j.ijmedinf.2015.08.004openalex-snapshot

Automatic ICD-10 classification of cancers from free-text death certificates

inferredcites →https://doi.org/10.1038/sdata.2016.35openalex-snapshot

MIMIC-III, a freely accessible critical care database

inferredcites →https://doi.org/10.1109/iembs.2011.6092050openalex-snapshot

Open-access MIMIC-II database for intensive care research

inferredcites →https://doi.org/10.1111/j.1475-6773.2005.00444.xopenalex-snapshot

Measuring Diagnoses: ICD Code Accuracy

inferredcites →https://doi.org/10.1136/amiajnl-2013-002159openalex-snapshot

Diagnosis code assignment: models and evaluation metrics

inferredcites →https://doi.org/10.1145/243199.243276openalex-snapshot

Combining classifiers in text categorization

inferredcites →https://doi.org/10.1145/288627.288649openalex-snapshot

A hierarchical approach to the automatic categorization of medical documents

inferredcites →https://doi.org/10.1145/3357384.3357897openalex-snapshot

EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation

inferredcites →https://doi.org/10.1609/aaai.v31i1.10964openalex-snapshot

Condensed Memory Networks for Clinical Diagnostic Inferencing

inferredcites →https://doi.org/10.1609/aaai.v34i05.6331openalex-snapshot

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

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

Hierarchical Attention Networks for Document Classification

inferredcites →https://doi.org/10.18653/v1/n18-1100openalex-snapshot

Explainable Prediction of Medical Codes from Clinical Text

inferredcites →https://doi.org/10.18653/v1/p18-1128openalex-snapshot

The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing

inferredcites →https://doi.org/10.18653/v1/p18-1216openalex-snapshot

Joint Embedding of Words and Labels for Text Classification

inferredcites →https://doi.org/10.18653/v1/w17-2342openalex-snapshot

Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods

inferredcites →https://doi.org/10.3115/1072064.1072068openalex-snapshot

The statistical significance of the MUC-4 results

inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

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

Convolutional Neural Networks for Sentence Classification

inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot

Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot

AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1406.1078openalex-snapshot

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.48550/arxiv.1703.03130openalex-snapshot

A Structured Self-attentive Sentence Embedding

inferredcites →https://doi.org/10.48550/arxiv.1711.04075openalex-snapshot

Towards Automated ICD Coding Using Deep Learning

inferredcites →https://doi.org/10.48550/arxiv.1711.05101openalex-snapshot

Decoupled Weight Decay Regularization

inferredcites →https://doi.org/10.48550/arxiv.1909.13154openalex-snapshot

Generalized Zero-shot ICD Coding

inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-snapshot

PyTorch: An Imperative Style, High-Performance Deep Learning Library

inferredcites →https://doi.org/10.5860/choice.46-2715openalex-snapshot

Introduction to information retrieval

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4777351openalex-extracted

Bespoke Large Language Models for Digital Triage Assistance in Mental Health Care

inferred← citeshttps://doi.org/10.2139/ssrn.4864687openalex-extracted

inferred← citeshttps://doi.org/10.1002/widm.70019openalex-snapshot

Long Document Classification in the Transformer Era: A Survey on Challenges, Advances, and Open Issues

inferred← citeshttps://doi.org/10.1007/978-3-030-75762-5_19openalex-snapshot

GrabQC: Graph Based Query Contextualization for Automated ICD Coding

inferred← citeshttps://doi.org/10.1007/978-3-030-93733-1_26openalex-snapshot

Embed Wisely: An Ensemble Approach to Predict ICD Coding

inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_38openalex-snapshot

HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding

inferred← citeshttps://doi.org/10.1007/978-3-031-23198-8_3openalex-snapshot

Automatic ICD Coding Based on Multi-granularity Feature Fusion

inferred← citeshttps://doi.org/10.1007/978-3-031-23198-8_7openalex-snapshot

NIDN: Medical Code Assignment via Note-Code Interaction Denoising Network

inferred← citeshttps://doi.org/10.1007/978-3-031-28238-6_30openalex-snapshot

Justifying Multi-label Text Classifications for Healthcare Applications

inferred← citeshttps://doi.org/10.1007/978-3-031-30678-5_19openalex-snapshot

Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-45275-8_41openalex-snapshot

Exploring Label Correlations for Quantification of ICD Codes

inferred← citeshttps://doi.org/10.1007/978-3-031-47718-8_40openalex-snapshot

Towards Explainability in Automated Medical Code Prediction from Clinical Records

inferred← citeshttps://doi.org/10.1007/978-3-031-49002-6_18openalex-snapshot

Hierarchical Text Classification Using Language Models with Global Label-Wise Attention Mechanisms

inferred← citeshttps://doi.org/10.1007/978-3-031-55349-3_12openalex-snapshot

An Overview on Data Augmentation for Machine Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-72353-7_3openalex-snapshot

ComplicaCode: Enhancing Disease Complication Detection in Electronic Health Records Through ICD Path Generation

inferred← citeshttps://doi.org/10.1007/978-3-032-06004-4_27openalex-snapshot

Predictive Multimodal Modeling of Diagnoses and Treatments in EHR

inferred← citeshttps://doi.org/10.1007/978-3-032-11509-6_16openalex-snapshot

Parameter-Efficient Tuned LongFormer for Diagnostic Code Classification Based on Unstructured Clinical Reports

inferred← citeshttps://doi.org/10.1007/978-3-032-25029-2_26openalex-snapshot

SANA: Semantic-Aware Neural Architecture for Enhanced Medical Code Classification

inferred← citeshttps://doi.org/10.1007/978-3-032-29532-3_23openalex-snapshot

Automated ICD-10 Coding Approaches with UMLS Integration and Model Interpretability Support

inferred← citeshttps://doi.org/10.1007/978-3-658-39302-1_21openalex-snapshot

Forschungs- und Entwicklungsprojekte in der Pflege erfolgreich planen und umsetzen – Voraussetzungen und Gelingensbedingungen am Beispiel des Einsatzes von künstlicher Intelligenz

inferred← citeshttps://doi.org/10.1007/978-981-92-0288-1_28openalex-snapshot

MLIF: Multi-aspect Label Information Fusion for Effective ICD Coding in Long-Tail Scenarios

inferred← citeshttps://doi.org/10.1007/978-981-92-1947-6_39openalex-snapshot

Semantic-Enhanced Representation Architecture for Automatic ICD Coding via Hyperbolic Graph Neural Networks

inferred← citeshttps://doi.org/10.1007/978-981-95-3346-6_28openalex-snapshot

CLSurCoder: LLMs Based Cross-Lingual Transfer Learning for Low-Resource Language Surgical Records Coding

inferred← citeshttps://doi.org/10.1007/978-981-96-4298-4_8openalex-snapshot

Automatic ICD Code Generation for Lymphoma Using Large Language Models

inferred← citeshttps://doi.org/10.1007/978-981-96-4298-4_9openalex-snapshot

Lymphoma Tumor Coding and Information Extraction: A Comparative Analysis of Large Language Model-Based Methods

inferred← citeshttps://doi.org/10.1007/978-981-97-5128-0_24openalex-snapshot

Hybrid Attention Knowledge Fusion Network for Automated Medical Code Assignment

inferred← citeshttps://doi.org/10.1007/978-981-97-9437-9_38openalex-snapshot

A Novel ICD Coding Method Based on Associated and Hierarchical Code Description Distillation

inferred← citeshttps://doi.org/10.1007/978-981-97-9440-9_10openalex-snapshot

MANet: A Multiview Attention Network for Automatic ICD Coding

inferred← citeshttps://doi.org/10.1007/978-981-99-4826-0_18openalex-snapshot

Clinical Coding Based on Knowledge Enhanced Language Model and Attention Pooling

inferred← citeshttps://doi.org/10.1007/s00117-024-01349-2openalex-snapshot

Automatische ICD-10-Codierung

inferred← citeshttps://doi.org/10.1007/s10916-026-02429-7openalex-snapshot

Recent Advances in AI for Automated ICD Coding: A Systematic Literature Review

inferred← citeshttps://doi.org/10.1016/j.artmed.2024.102916openalex-snapshot

EHR coding with hybrid attention and features propagation on disease knowledge graph

inferred← citeshttps://doi.org/10.1016/j.artmed.2024.102967openalex-snapshot

Enhanced ICD-10 code assignment of clinical texts: A summarization-based approach

inferred← citeshttps://doi.org/10.1016/j.artmed.2025.103136openalex-snapshot

CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study

inferred← citeshttps://doi.org/10.1016/j.artmed.2025.103163openalex-snapshot

ICD code mapping model based on clinical text tree structure

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108672openalex-snapshot

Czech medical coding assistant based on transformer networks

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.109971openalex-snapshot

How to leverage large language models for automatic ICD coding

inferred← citeshttps://doi.org/10.1016/j.cosrev.2022.100511openalex-snapshot

Neural Natural Language Processing for unstructured data in electronic health records: A review

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111687openalex-snapshot

Multitask gated interactive network for automatic international classification of diseases coding with dual denoising mechanism

inferred← citeshttps://doi.org/10.1016/j.engappai.2026.116041openalex-snapshot

Enhancing rare class prediction in medical data via clinical validity augmentation

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123519openalex-snapshot

Modelling long medical documents and code associations for explainable automatic ICD coding

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127241openalex-snapshot

Contrastive learning with large language models for medical code prediction

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132312openalex-snapshot

Medical knowledge-enhanced ICD coding prediction

inferred← citeshttps://doi.org/10.1016/j.future.2021.01.013openalex-snapshot

Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries

inferred← citeshttps://doi.org/10.1016/j.ijmedinf.2021.104543openalex-snapshot

Automated ICD coding for primary diagnosis via clinically interpretable machine learning

inferred← citeshttps://doi.org/10.1016/j.ijmedinf.2023.105212openalex-snapshot

Contrastive diagnostic embedding (CDE) model for automated coding – A case study using emergency department encounters

inferred← citeshttps://doi.org/10.1016/j.imu.2023.101227openalex-snapshot

Development and external validation of automated ICD-10 coding from discharge summaries using deep learning approaches

inferred← citeshttps://doi.org/10.1016/j.iswa.2024.200416openalex-snapshot

Differentially private de-identifying textual medical document is compliant with challenging NLP analyses: Example of privacy-preserving ICD-10 code association

inferred← citeshttps://doi.org/10.1016/j.jbi.2021.103699openalex-snapshot

GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification

inferred← citeshttps://doi.org/10.1016/j.jbi.2022.104149openalex-snapshot

“Note Bloat” impacts deep learning-based NLP models for clinical prediction tasks

inferred← citeshttps://doi.org/10.1016/j.jbi.2022.104161openalex-snapshot

Hierarchical label-wise attention transformer model for explainable ICD coding

inferred← citeshttps://doi.org/10.1016/j.jbi.2023.104396openalex-snapshot

Retrieve and rerank for automated ICD coding via Contrastive Learning

inferred← citeshttps://doi.org/10.1016/j.jbi.2023.104418openalex-snapshot

Integrating domain knowledge for biomedical text analysis into deep learning: A survey

inferred← citeshttps://doi.org/10.1016/j.jbi.2025.104861openalex-snapshot

A review on knowledge graphs for healthcare: Resources, applications, and promises

inferred← citeshttps://doi.org/10.1016/j.jbi.2025.104973openalex-snapshot

Mamba-enhanced disease semantic knowledge graph for interpretable automatic ICD coding

inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111113openalex-snapshot

Combining transformer-based model and GCN to predict ICD codes from clinical records

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111395openalex-snapshot

Knowledge-based dynamic prompt learning for multi-label disease diagnosis

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114530openalex-snapshot

Enhancing ICD classification with semantic embedding rectification and long-tail refinement

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127736openalex-snapshot

Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare

inferred← citeshttps://doi.org/10.1038/s41598-024-69214-9openalex-snapshot

ICDXML: enhancing ICD coding with probabilistic label trees and dynamic semantic representations

inferred← citeshttps://doi.org/10.1038/s41598-024-81170-yopenalex-snapshot

De-identification is not enough: a comparison between de-identified and synthetic clinical notes

inferred← citeshttps://doi.org/10.1038/s41598-025-10590-1openalex-snapshot

Breaking barriers in ICD classification with a robust graph neural network for hierarchical coding

inferred← citeshttps://doi.org/10.1038/s41746-024-01363-7openalex-snapshot

Optimising the paradigms of human AI collaborative clinical coding

inferred← citeshttps://doi.org/10.1038/s44401-025-00018-3openalex-snapshot

Enhancing medical coding efficiency through domain-specific fine-tuned large language models

inferred← citeshttps://doi.org/10.1089/cmb.2023.0079openalex-snapshot

Automatic International Classification of Diseases Coding via Note-Code Interaction Network with Denoising Mechanism

inferred← citeshttps://doi.org/10.1089/cmb.2023.0096openalex-snapshot

Multigranularity Label Prediction Model for Automatic International Classification of Diseases Coding in Clinical Text

inferred← citeshttps://doi.org/10.1109/access.2023.3309157openalex-snapshot

Threshold-Learned CNN for Multi-Label Text Classification of Electronic Health Records

inferred← citeshttps://doi.org/10.1109/aiac68175.2025.11332401openalex-snapshot

Graph Inference Towards ICD Coding

inferred← citeshttps://doi.org/10.1109/bibm52615.2021.9669332openalex-snapshot

Disease Correlation Enhanced Attention Network for ICD Coding

inferred← citeshttps://doi.org/10.1109/bibm52615.2021.9669625openalex-snapshot

Automatic ICD-10 Coding Based on Multi-Head Attention Mechanism and Gated Residual Network

inferred← citeshttps://doi.org/10.1109/bibm52615.2021.9669711openalex-snapshot

A Hybrid Pooling Based Deep Learning Framework For Automated ICD Coding

inferred← citeshttps://doi.org/10.1109/bibm55620.2022.9994978openalex-snapshot

Multi-scale Label Attention Network based on Abductive Causal Graph for Disease Diagnosis

inferred← citeshttps://doi.org/10.1109/bibm58861.2023.10385346openalex-snapshot

Disease Diagnosis based on Multiple Semantic Relationship Prompt Subgraph

inferred← citeshttps://doi.org/10.1109/bibm58861.2023.10385482openalex-snapshot

ChatICD: Prompt Learning for Few-shot ICD Coding through ChatGPT

inferred← citeshttps://doi.org/10.1109/bibm58861.2023.10385585openalex-snapshot

DILM-ICD: A Deep Iterative Learning Model for Automatic ICD Coding

inferred← citeshttps://doi.org/10.1109/bibm58861.2023.10385761openalex-snapshot

TetraCVD: A Temporal-Textual Transformer based Model for Cardiovascular Disease Diagnosis

inferred← citeshttps://doi.org/10.1109/bibm62325.2024.10821868openalex-snapshot

Mitigating Feature Homogenization in Deep Graph Architectures for Clinical Data Representation

inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11356294openalex-snapshot

Tracecoder: Towards Traceable Icd Coding Via Multi-Source Knowledge Integration

inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11356814openalex-snapshot

TACL: Threshold-Adaptive Curriculum Learning Strategy for Enhancing Medical Text Understanding

inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11356917openalex-snapshot

RHealth: A R Toolkit for Deep Learning in Healthcare

inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825225openalex-snapshot

Context-Specific Feature Augmentation for Improving Social Determinants of Health Extraction

inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825951openalex-snapshot

CRTRE: Causal Rule Generation with Target Trial Emulation Framework

inferred← citeshttps://doi.org/10.1109/cbms58004.2023.00198openalex-snapshot

Automatic ICD-10 Code Association: A Challenging Task on French Clinical Texts

inferred← citeshttps://doi.org/10.1109/cbms69103.2026.00149openalex-snapshot

ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability

inferred← citeshttps://doi.org/10.1109/cbms69103.2026.00224openalex-snapshot

Interpretable ICD Coding with Chunk-Level Attention and Contrastive Pretraining

inferred← citeshttps://doi.org/10.1109/chase69719.2026.00026openalex-snapshot

Large Language Models for Automatic ICD-10 Coding in Cancer Treatment and Billing: An Academic-Industry Partnership

inferred← citeshttps://doi.org/10.1109/cibcb66090.2025.11177075openalex-snapshot

Enhancing Machine Learning Models for Medical Coding: Diagnostic Codes Mapping and Synthetic Clinical Notes

inferred← citeshttps://doi.org/10.1109/cscwd61410.2024.10580801openalex-snapshot

Thinking the Importance of Patient’s Chief Complaint in TCM Syndrome Differentiation

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446353openalex-snapshot

JPIS: A Joint Model for Profile-Based Intent Detection and Slot Filling with Slot-to-Intent Attention

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096122openalex-snapshot

MHLAT: Multi-Hop Label-Wise Attention Model for Automatic ICD Coding

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10887820openalex-snapshot

HiRes: Hierarchical Feature Optimization and Rescorer for Automatic ICD Coding

inferred← citeshttps://doi.org/10.1109/iccae56788.2023.10111456openalex-snapshot

A Review of Deep Learning Methods for Automated Clinical Coding

inferred← citeshttps://doi.org/10.1109/iccubea69821.2026.11702367openalex-snapshot

Explainable AI for Clinical Text-to-ICD-10 Mapping Using Biomedical Language Models

inferred← citeshttps://doi.org/10.1109/icmla66185.2025.00198openalex-snapshot

Automated Clinical Coding with Multiclass ICD Prediction

inferred← citeshttps://doi.org/10.1109/icsec59635.2023.10329683openalex-snapshot

An Implementation of ICD Coding for Bi-Lingual Medical Records Using Deep Learning

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892499openalex-snapshot

Joint Modeling of Document and Label with Clause Interaction Hypergraph for ICD Medical Code Assignment

inferred← citeshttps://doi.org/10.1109/jbhi.2022.3193291openalex-snapshot

A Pseudo Label-Wise Attention Network for Automatic ICD Coding

inferred← citeshttps://doi.org/10.1109/jbhi.2024.3355951openalex-snapshot

Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation

inferred← citeshttps://doi.org/10.1109/jbhi.2025.3593028openalex-snapshot

Verification is All You Need: Prompting Large Language Models for Zero-Shot Clinical Coding

inferred← citeshttps://doi.org/10.1109/mita69365.2026.11581567openalex-snapshot

Improving Automatic Medical Coding Performance Through Code Hierarchy and Co-Occurrence

inferred← citeshttps://doi.org/10.1109/sds66131.2025.00028openalex-snapshot

Evaluating Fine-Tuned Small Language Models for ICD-10 Diagnosis Coding

inferred← citeshttps://doi.org/10.1109/src70627.2026.11550650openalex-snapshot

OUWN: Transformer-Based Multi-Label ICD-10 Prediction from Clinical Notes

inferred← citeshttps://doi.org/10.1109/tce.2024.3419447openalex-snapshot

Automated ICD Coding via Contrastive Learning With Back-Reference and Synonym Knowledge for Smart Self-Diagnosis Applications

inferred← citeshttps://doi.org/10.1109/tkde.2022.3148267openalex-snapshot

A review on deep neural networks for ICD coding

inferred← citeshttps://doi.org/10.1145/3486622.3493946openalex-snapshot

Disease Classification on Admission and on Discharge with Residual CNN-Transformer

inferred← citeshttps://doi.org/10.1145/3539618.3591918openalex-snapshot

Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study

inferred← citeshttps://doi.org/10.1145/3563041openalex-snapshot

Multitask Balanced and Recalibrated Network for Medical Code Prediction

inferred← citeshttps://doi.org/10.1145/3711542.3711580openalex-snapshot

Evidence Extraction for Automated Medical Coding: Preliminary Evaluation

inferred← citeshttps://doi.org/10.1186/s12911-022-01753-5openalex-snapshot

Comparison of different feature extraction methods for applicable automated ICD coding

inferred← citeshttps://doi.org/10.1609/aaai.v35i16.17673openalex-snapshot

Multi-Document Transformer for Personality Detection

inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.463openalex-snapshot

Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism

inferred← citeshttps://doi.org/10.18653/v1/2021.acl-short.104openalex-snapshot

Parameter Selection: Why We Should Pay More Attention to It

inferred← citeshttps://doi.org/10.18653/v1/2021.bionlp-1.6openalex-snapshot

Towards BERT-based Automatic ICD Coding: Limitations and Opportunities

inferred← citeshttps://doi.org/10.18653/v1/2021.emnlp-main.481openalex-snapshot

Effective Convolutional Attention Network for Multi-label Clinical Document Classification

inferred← citeshttps://doi.org/10.18653/v1/2021.findings-acl.410openalex-snapshot

Analyzing Code Embeddings for Coding Clinical Narratives

inferred← citeshttps://doi.org/10.18653/v1/2021.findings-emnlp.98openalex-snapshot

Learning to Answer Psychological Questionnaire for Personality Detection

inferred← citeshttps://doi.org/10.18653/v1/2021.naacl-main.318openalex-snapshot

Modeling Diagnostic Label Correlation for Automatic ICD Coding

inferred← citeshttps://doi.org/10.18653/v1/2021.wnut-1.8openalex-snapshot

Description-based Label Attention Classifier for Explainable ICD-9 Classification

inferred← citeshttps://doi.org/10.18653/v1/2022.bionlp-1.41openalex-snapshot

Model Distillation for Faithful Explanations of Medical Code Predictions

inferred← citeshttps://doi.org/10.18653/v1/2022.clinicalnlp-1openalex-snapshot

Proceedings of the 4th Clinical Natural Language Processing Workshop

inferred← citeshttps://doi.org/10.18653/v1/2022.clinicalnlp-1.10openalex-snapshot

An exploratory data analysis: the performance differences of a medical code prediction system on different demographic groups

inferred← citeshttps://doi.org/10.18653/v1/2022.clinicalnlp-1.2openalex-snapshot

PLM-ICD: Automatic ICD Coding with Pretrained Language Models

inferred← citeshttps://doi.org/10.18653/v1/2022.findings-acl.110openalex-snapshot

A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge

inferred← citeshttps://doi.org/10.18653/v1/2022.findings-emnlp.534openalex-snapshot

Revisiting Transformer-based Models for Long Document Classification

inferred← citeshttps://doi.org/10.18653/v1/2022.semeval-1.38openalex-snapshot

SemEval-2022 Task 4: Patronizing and Condescending Language Detection

inferred← citeshttps://doi.org/10.18653/v1/2023.eacl-main.120openalex-snapshot

Modelling Temporal Document Sequences for Clinical ICD Coding

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.517openalex-snapshot

Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.841openalex-snapshot

MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention

inferred← citeshttps://doi.org/10.21203/rs.3.rs-7791604/v1openalex-snapshot

From Register to Electronic Medical Records: A Data-Quality Audit in a Bangladeshi Orthopaedic Outpatient Department

inferred← citeshttps://doi.org/10.2196/58278openalex-snapshot

Evaluating a Natural Language Processing–Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study

inferred← citeshttps://doi.org/10.2196/preprints.83846openalex-snapshot

LTR-ICD: A Learning-to-Rank Approach for Automatic Medical Coding (Preprint)

inferred← citeshttps://doi.org/10.24963/ijcai.2021/496openalex-snapshot

A Novel Sequence-to-Subgraph Framework for Diagnosis Classification

inferred← citeshttps://doi.org/10.26599/bdma.2025.9020019openalex-snapshot

GoM-ICD: Automatic ICD Coding with Gap Schemes and Mixture of Experts

inferred← citeshttps://doi.org/10.2991/978-94-6463-094-7_26openalex-snapshot

A Residual CNN Model for ICD Assignment

inferred← citeshttps://doi.org/10.3233/shti230264openalex-snapshot

Learning to Classify Medical Discharge Summaries According to ICD-9

inferred← citeshttps://doi.org/10.3389/fdgth.2021.620828openalex-snapshot

Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health

inferred← citeshttps://doi.org/10.3390/a17040144openalex-snapshot

Aiding ICD-10 Encoding of Clinical Health Records Using Improved Text Cosine Similarity and PLM-ICD

inferred← citeshttps://doi.org/10.3390/app122111250openalex-snapshot

ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records

inferred← citeshttps://doi.org/10.3390/app15168872openalex-snapshot

A Survey of Multi-Label Text Classification Under Few-Shot Scenarios

inferred← citeshttps://doi.org/10.3390/healthcare10122397openalex-snapshot

A Curriculum Batching Strategy for Automatic ICD Coding with Deep Multi-Label Classification Models

inferred← citeshttps://doi.org/10.3390/info16010054openalex-snapshot

Multi-Modal Fusion of Routine Care Electronic Health Records (EHR): A Scoping Review

inferred← citeshttps://doi.org/10.3390/informatics13030039openalex-snapshot

Integrating Agentic Artificial Intelligence to Automate International Classification of Diseases, Tenth Revision, Medical Coding

inferred← citeshttps://doi.org/10.3390/math12152398openalex-snapshot

Towards Automatic ICD Coding via Label Graph Generation

inferred← citeshttps://doi.org/10.35784/acs-2024-16openalex-snapshot

EXAMINATION OF SUMMARIZED MEDICAL RECORDS FOR ICD CODE CLASSIFICATION VIA BERT

inferred← citeshttps://doi.org/10.3897/jucs.89923openalex-snapshot

Automatic assignment of diagnosis codes to free-form text medical note

inferred← citeshttps://doi.org/10.48550/arxiv.2102.09136openalex-snapshot

From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention

inferred← citeshttps://doi.org/10.48550/arxiv.2107.10650openalex-snapshot

Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines

inferred← citeshttps://doi.org/10.48550/arxiv.2107.10652openalex-snapshot

A Systematic Literature Review of Automated ICD Coding and Classification Systems using Discharge Summaries

inferred← citeshttps://doi.org/10.53391/mmnsa.1666223openalex-snapshot

Comparative study of feature extraction methods for automated ICD code classification using MIMIC-III medical notes and deep learning models

inferred← citeshttps://doi.org/10.64898/2026.08.29.26361731openalex-snapshot

CPT/HCPCS Code Recommendation from Clinical Notes: A Comparative Evaluation of AI Methods

inferred← citeshttps://doi.org/10.64898/2026.10.04.26364688openalex-snapshot

Low-Resource Automatic ICD Coding for Chinese Electronic Medical Records: An Interpretable Multi-View Linear Framework with Audited Clinical Rules

inferred← citeshttps://doi.org/10.68159/q291609361openalex-snapshot

Machine Learning for Healthcare Revenue Cycle Analytics: A Systematic Review of Claim Denial Prediction, Coding Automation, Payment Delay Forecasting, and Prior Authorization Support

inferred← citeshttps://doi.org/10.68159/t203262807openalex-snapshot

Artificial Intelligence for Clinical Documentation Improvement from 2017 to 2023: A Systematic Review of Natural Language Processing Methods for Coding Accuracy, Note Quality, Billing Support, and Physician Workflow Efficiency

inferred← citeshttps://doi.org/10.7717/peerj-cs.4079openalex-snapshot

Accurate and explainable ICD-10-CM diagnosis coding through multi-stage model adaptation and evidence-guided verification

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.