Applying deep learning model to predict diagnosis code of medical records
The International Classification of Diseases (ICD) code is a diagnostic classification
standard that is frequently used as a referencing system in healthcare and insurance …
standard that is frequently used as a referencing system in healthcare and insurance …
[PDF][PDF] Machine Learning Techniques for Electronic Health Records: Review of a Decade of Research
Advancement in Machine Learning (ML) has opened new gateways for transforming the
healthcare sector. This paper explores the integration of ML techniques within the …
healthcare sector. This paper explores the integration of ML techniques within the …
Do Large Language Models understand Medical Codes?
SA Lee, T Lindsey - arXiv preprint arXiv:2403.10822, 2024 - arxiv.org
The overarching goal of recent AI research has been to make steady progress towards
achieving Artificial General Intelligence (AGI), prompting the evaluation of Large Language …
achieving Artificial General Intelligence (AGI), prompting the evaluation of Large Language …
MR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network
S Lin, M Wang, C Shi, Z Xu, L Chen, Q Gao, J Chen - BMC bioinformatics, 2022 - Springer
Background Medication recommendation based on electronic medical record (EMR) is a
research hot spot in smart healthcare. For developing computational medication …
research hot spot in smart healthcare. For developing computational medication …
International Classification of Diseases Prediction from MIMIIC-III Clinical Text Using Pre-Trained ClinicalBERT and NLP Deep Learning Models Achieving State of the …
I Aden, CHT Child, CC Reyes-Aldasoro - Big Data and Cognitive …, 2024 - mdpi.com
The International Classification of Diseases (ICD) serves as a widely employed framework
for assigning diagnosis codes to electronic health records of patients. These codes facilitate …
for assigning diagnosis codes to electronic health records of patients. These codes facilitate …
Deep-ADCA: development and validation of deep learning model for automated diagnosis code assignment using clinical notes in electronic medical records
Currently, the International Classification of Diseases (ICD) codes are being used to improve
clinical, financial, and administrative performance. Inaccurate ICD coding can lower the …
clinical, financial, and administrative performance. Inaccurate ICD coding can lower the …
Examination of summarized medical records for ICD code classification via BERT
Abstract The International Classification of Diseases (ICD) is utilized by member countries of
the World Health Organization (WHO). It is a critical system to ensure worldwide …
the World Health Organization (WHO). It is a critical system to ensure worldwide …
An improved transformer-driven approach for explainable ICD code prediction
M rao Kanneganti - 2024 - search.proquest.com
Automated ICD coding is a multi-label classification task that involves assigning ICD codes
to long clinical texts such as discharge summaries. It is an active research field and …
to long clinical texts such as discharge summaries. It is an active research field and …
HRP-PM: A Hypertension Risk Prediction Model Combining Pre-Training and Multi-Task Learning with Dual Adaptation
S Lin, H Yan, M Wang, Q Gao, S Zhou… - Available at SSRN … - papers.ssrn.com
Hypertension is a common and serious chronic disease that can cause or worsen serious
diseases such as coronary heart disease, myocardial infarction, heart failure, and …
diseases such as coronary heart disease, myocardial infarction, heart failure, and …
Natural language processing machine learning frameworks trained using multi-task training routines
Various embodiments of the present invention provide methods, apparatus, systems,
computing devices, computing entities, and/or the like for performing natural language …
computing devices, computing entities, and/or the like for performing natural language …