AIMC Topic: International Classification of Diseases

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Few-Shot Learning of Medical Coding Systems: A Case Study on Death Certificates with BERT and Mistral.

Studies in health technology and informatics May 15, 2025
Identifying the Underlying Cause of Death accurately is crucial for effective healthcare policy and planning. The World Health Organization recommends using the ICD-10 system to standardize death certificate coding, a task often supported by semi-aut...
International Classification of Diseases Clinical Coding Death Certificates Natural Language Processing Cause of Death Humans
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Assessing the validity of ICD-10 administrative data in coding comorbidities.

BMJ health & care informatics May 13, 2025
OBJECTIVES: Administrative data are commonly used to inform chronic disease prevalence and support health informatic research. This study assessed the validity of coding comorbidities in the International Classification of Diseases, 10th Revision (IC...
Male Middle Aged Reproducibility of Results Aged International Classification of Diseases Clinical Coding Humans Alberta Female Comorbidity Hospital Mortality
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Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records.

Birth defects research Mar 1, 2025
BACKGROUND: International Classification of Disease (ICD) codes can accurately identify patients with certain congenital heart defects (CHDs). In ICD-defined CHD data sets, the code for secundum atrial septal defect (ASD) is the most common, but it h...
Heart Defects, Congenital Heart Septal Defects, Atrial Natural Language Processing Humans International Classification of Diseases Electronic Health Records Support Vector Machine Machine Learning
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A Generalized Machine Learning Model for Identifying Congenital Heart Defects (CHDs) Using ICD Codes.

Birth defects research Feb 1, 2025
BACKGROUND: International Classification of Diseases (ICD) codes utilized for congenital heart defect (CHD) case identification in datasets have substantial false-positive (FP) rates. Incorporating machine learning (ML) algorithms following case sele...
Humans Machine Learning Algorithms Heart Defects, Congenital False Positive Reactions International Classification of Diseases Female Male
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What Kind of Transformer Models to Use for the ICD-10 Codes Classification Task.

Studies in health technology and informatics Aug 22, 2024
Coding according to the International Classification of Diseases (ICD)-10 and its clinical modifications (CM) is inherently complex and expensive. Natural Language Processing (NLP) assists by simplifying the analysis of unstructured data from electro...
Humans Clinical Coding Electronic Health Records Natural Language Processing International Classification of Diseases
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Term Candidate Generation to Enrich Clinical Terminologies with Large Language Models.

Studies in health technology and informatics Aug 22, 2024
Annotated language resources derived from clinical routine documentation form an intriguing asset for secondary use case scenarios. In this investigation, we report on how such a resource can be leveraged to identify additional term candidates for a ...
Vocabulary, Controlled Terminology as Topic International Classification of Diseases Natural Language Processing Germany Humans Electronic Health Records
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Development of a Method for Automatic Matching of Unstructured Medical Data to ICD-10 Codes.

Studies in health technology and informatics May 23, 2024
Inconsistent disease coding standards in medicine create hurdles in data exchange and analysis. This paper proposes a machine learning system to address this challenge. The system automatically matches unstructured medical text (doctor notes, complai...
International Classification of Diseases Humans Electronic Health Records Clinical Coding Natural Language Processing Machine Learning
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Secondary Use of Clinical Problem List Descriptions for Bi-Encoder Based ICD-10 Classification.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Annotated language resources are essential for supervised machine learning methods. In the clinical domain, such data sets can boost use-case specific natural language processing services. In this work, we have analyzed a clinical problem list table ...
Unified Medical Language System Clinical Coding Humans Machine Learning Natural Language Processing International Classification of Diseases
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Enhancing Semantic and Structure Modeling of Diseases for Diagnosis Prediction.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Electronic Health Records (EHRs) are valuable healthcare data, aiding researchers and doctors in improving diagnosis accuracy. Researchers have developed several predictive models by learning disease representations to forecast the potential diagnosi...
Humans Machine Learning Semantics International Classification of Diseases Disease Electronic Health Records Natural Language Processing Diagnosis
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Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment.

Studies in health technology and informatics May 18, 2023
Clinical information systems have become large repositories for semi-structured and partly annotated electronic health record data, which have reached a critical mass that makes them interesting for supervised data-driven neural network approaches. W...
Language Neural Networks, Computer International Classification of Diseases Electronic Health Records
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