Automated machine learning for healthcare and clinical notes analysis
Machine learning (ML) has been slowly entering every aspect of our lives and its positive
impact has been astonishing. To accelerate embedding ML in more applications and …
impact has been astonishing. To accelerate embedding ML in more applications and …
A review on deep neural networks for ICD coding
The International Classification of Diseases (ICD) is a standard for categorizing physical
conditions, which has been widely used for analyzing clinical data and monitoring health …
conditions, which has been widely used for analyzing clinical data and monitoring health …
Evaluating the ChatGPT family of models for biomedical reasoning and classification
Abstract Objective Large language models (LLMs) have shown impressive ability in
biomedical question-answering, but have not been adequately investigated for more specific …
biomedical question-answering, but have not been adequately investigated for more specific …
[HTML][HTML] Does the magic of BERT apply to medical code assignment? A quantitative study
Unsupervised pretraining is an integral part of many natural language processing systems,
and transfer learning with language models has achieved remarkable results in downstream …
and transfer learning with language models has achieved remarkable results in downstream …
Diagnosis code assignment: models and evaluation metrics
Background and objective The volume of healthcare data is growing rapidly with the
adoption of health information technology. We focus on automated ICD9 code assignment …
adoption of health information technology. We focus on automated ICD9 code assignment …
Automated ICD-9 coding via a deep learning approach
ICD-9 (the Ninth Revision of International Classification of Diseases) is widely used to
describe a patient's diagnosis. Accurate automated ICD-9 coding is important because …
describe a patient's diagnosis. Accurate automated ICD-9 coding is important because …
An empirical evaluation of deep learning for ICD-9 code assignment using MIMIC-III clinical notes
Abstract Background and Objective Code assignment is of paramount importance in many
levels in modern hospitals, from ensuring accurate billing process to creating a valid record …
levels in modern hospitals, from ensuring accurate billing process to creating a valid record …
Clinical assistant diagnosis for electronic medical record based on convolutional neural network
Automatically extracting useful information from electronic medical records along with
conducting disease diagnoses is a promising task for both clinical decision support (CDS) …
conducting disease diagnoses is a promising task for both clinical decision support (CDS) …
Automatic ICD-9 coding via deep transfer learning
ICD-9 codes have been widely used to describe a patient's diagnosis. Accurate automatic
ICD-9 coding is important because manual coding is expensive, time-consuming. Inspired …
ICD-9 coding is important because manual coding is expensive, time-consuming. Inspired …
Explainable prediction of medical codes with knowledge graphs
F Teng, W Yang, L Chen, LF Huang… - Frontiers in bioengineering …, 2020 - frontiersin.org
International Classification of Diseases (ICD) is an authoritative health care classification
system of different diseases. It is widely used for disease and health records, assisted …
system of different diseases. It is widely used for disease and health records, assisted …