AIMC Topic: International Classification of Diseases

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Multigranularity Label Prediction Model for Automatic International Classification of Diseases Coding in Clinical Text.

Journal of computational biology : a journal of computational molecular cell biology Jul 31, 2023
International Classification of Diseases (ICD) serves as the foundation for generating comparable global disease statistics across regions and over time. The process of ICD coding involves assigning codes to diseases based on clinical notes, which ca...
International Classification of Diseases Clinical Coding Humans Machine Learning
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Patient Clustering for Vital Organ Failure Using ICD Code With Graph Attention.

IEEE transactions on bio-medical engineering Jul 18, 2023
OBJECTIVE: Heart failure, respiratory failure and kidney failure are three severe organ failures (OF) that have high mortalities and are most prevalent in intensive care units. The objective of this work is to offer insights into OF clustering from t...
Humans Neural Networks, Computer Cluster Analysis International Classification of Diseases Intensive Care Units Electronic Health Records
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Supervised Text Classification System Detects Fontan Patients in Electronic Records With Higher Accuracy Than Codes.

Journal of the American Heart Association Jun 22, 2023
Background The Fontan operation is associated with significant morbidity and premature mortality. Fontan cases cannot always be identified by () codes, making it challenging to create large Fontan patient cohorts. We sought to develop natural langua...
Electronics International Classification of Diseases Electronic Health Records Humans Natural Language Processing Machine Learning
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Ontology-driven and weakly supervised rare disease identification from clinical notes.

BMC medical informatics and decision making May 5, 2023
BACKGROUND: Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes. Rare diseases are challenging to be identified due to few cases available for machine learning and the need for ...
Humans Machine Learning Unified Medical Language System Rare Diseases Natural Language Processing International Classification of Diseases
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Using natural language processing to identify child maltreatment in health systems.

Child abuse & neglect Feb 8, 2023
BACKGROUND: Rates of child maltreatment (CM) obtained from electronic health records are much lower than national child welfare prevalence rates indicate. There is a need to understand how CM is documented to improve reporting and surveillance.
Humans Child Abuse Washington Adolescent International Classification of Diseases Child, Preschool Child Natural Language Processing Infant, Newborn Infant Electronic Health Records Female
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Defining the distance between diseases using SNOMED CT embeddings.

Journal of biomedical informatics Feb 3, 2023
Characterizing disease relationships is essential to biomedical research to understand disease etiology and improve clinical decision-making. Measurements of distance between disease pairs enable valuable research tasks, such as subgrouping patients ...
Biological Ontologies International Classification of Diseases Humans Delivery of Health Care Electronic Health Records Systematized Nomenclature of Medicine
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Use of neural network based on international classification ICD-10 in patients with head and neck injuries in Lublin Province, Poland, between 2006-2018, as a predictive value of the outcomes of injury sustained.

Annals of agricultural and environmental medicine : AAEM Jan 17, 2023
INTRODUCTION AND OBJECTIVE: Head and neck injuries are a heterogeneous group in terms of both clinical course and prognosis. For years, there have been attempts to create an ideal tool to predict the outcomes and severity of injuries. The aim of this...
Poland International Classification of Diseases Neck Injuries Artificial Intelligence Retrospective Studies Humans Neural Networks, Computer
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Hierarchical label-wise attention transformer model for explainable ICD coding.

Journal of biomedical informatics Aug 20, 2022
International Classification of Diseases (ICD) coding plays an important role in systematically classifying morbidity and mortality data. In this study, we propose a hierarchical label-wise attention Transformer model (HiLAT) for the explainable pred...
Neural Networks, Computer Databases, Factual Humans International Classification of Diseases Clinical Coding Reproducibility of Results Patient Discharge
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Overview of ICD-11 architecture and structure.

BMC medical informatics and decision making May 16, 2022
BACKGROUND: The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classification of human diseases, syndromes, and conditions around the world. The World Health Organization h...
International Classification of Diseases Humans Knowledge Bases
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Comparison of different feature extraction methods for applicable automated ICD coding.

BMC medical informatics and decision making Jan 12, 2022
BACKGROUND: Automated ICD coding on medical texts via machine learning has been a hot topic. Related studies from medical field heavily relies on conventional bag-of-words (BoW) as the feature extraction method, and do not commonly use more complicat...
Natural Language Processing Machine Learning Humans International Classification of Diseases Language
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