[HTML][HTML] Automated machine learning for healthcare and clinical notes analysis
A Mustafa, M Rahimi Azghadi - Computers, 2021 - mdpi.com
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
S Ji, M Hölttä, P Marttinen - Computers in biology and medicine, 2021 - Elsevier
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 …
[HTML][HTML] 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 …
[HTML][HTML] 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 …