A unified review of deep learning for automated medical coding
Automated medical coding, an essential task for healthcare operation and delivery, makes
unstructured data manageable by predicting medical codes from clinical documents. Recent …
unstructured data manageable by predicting medical codes from clinical documents. Recent …
A comprehensive review of generative AI in healthcare
Y Shokrollahi, S Yarmohammadtoosky… - arXiv preprint arXiv …, 2023 - arxiv.org
The advancement of Artificial Intelligence (AI) has catalyzed revolutionary changes across
various sectors, notably in healthcare. Among the significant developments in this field are …
various sectors, notably in healthcare. Among the significant developments in this field are …
Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities
Objective: With the increasing amount and growing variety of healthcare data, multimodal
machine learning supporting integrated modeling of structured and unstructured data is an …
machine learning supporting integrated modeling of structured and unstructured data is an …
Few-shot ICD coding with knowledge transfer and evidence representation
The task of automatic ICD (International Classification of Diseases) coding involves
allocating appropriate ICD codes to electronic health records. Due to the long-tailed …
allocating appropriate ICD codes to electronic health records. Due to the long-tailed …
[HTML][HTML] Automated ICD coding using extreme multi-label long text transformer-based models
Encouraged by the success of pretrained Transformer models in many natural language
processing tasks, their use for International Classification of Diseases (ICD) coding tasks is …
processing tasks, their use for International Classification of Diseases (ICD) coding tasks is …
A two-stage decoder for efficient icd coding
Clinical notes in healthcare facilities are tagged with the International Classification of
Diseases (ICD) code; a list of classification codes for medical diagnoses and procedures …
Diseases (ICD) code; a list of classification codes for medical diagnoses and procedures …
Explainable text-tabular models for predicting mortality risk in companion animals
J Burton, S Farrell, PJ Mäntylä Noble… - Scientific Reports, 2024 - nature.com
As interest in using machine learning models to support clinical decision-making increases,
explainability is an unequivocal priority for clinicians, researchers and regulators to …
explainability is an unequivocal priority for clinicians, researchers and regulators to …
MDACE: MIMIC Documents Annotated with Code Evidence
We introduce a dataset for evidence/rationale extraction on an extreme multi-label
classification task over long medical documents. One such task is Computer-Assisted …
classification task over long medical documents. One such task is Computer-Assisted …
CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning
Automatic International Classification of Diseases (ICD) coding plays a crucial role in the
extraction of relevant information from clinical notes for proper recording and billing. One of …
extraction of relevant information from clinical notes for proper recording and billing. One of …
An automatic icd coding network using partition-based label attention
International Classification of Diseases (ICD) is a global medical classification system which
provides unique codes for diagnoses and procedures appropriate to a patient's clinical …
provides unique codes for diagnoses and procedures appropriate to a patient's clinical …