AIMC Topic: International Classification of Diseases

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Automated screening of natural language in electronic health records for the diagnosis septic shock is feasible and outperforms an approach based on explicit administrative codes.

Journal of critical care Jan 9, 2020
PURPOSE: Identification of patients for epidemiologic research through administrative coding has important limitations. We investigated the feasibility of a search based on natural language processing (NLP) on the text sections of electronic health r...
Young Adult Adult Sensitivity and Specificity Middle Aged Electronic Health Records Female Hospitalization Epidemiologic Studies Pattern Recognition, Automated False Positive Reactions International Classification of Diseases Incidence Shock, Septic Predictive Value of Tests Natural Language Processing Humans Software Databases, Factual Prospective Studies Intensive Care Units
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Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record.

Arthritis research & therapy Dec 30, 2019
BACKGROUND: Systemic sclerosis (SSc) is a rare disease with studies limited by small sample sizes. Electronic health records (EHRs) represent a powerful tool to study patients with rare diseases such as SSc, but validated methods are needed. We devel...
Aged, 80 and over Adult Sensitivity and Specificity Male Female Reproducibility of Results Aged Middle Aged International Classification of Diseases Scleroderma, Systemic Humans Machine Learning Algorithms Databases, Factual Electronic Health Records
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Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity.

Computer methods and programs in biomedicine Dec 10, 2019
BACKGROUND AND OBJECTIVE: This work deals with clinical text mining, a field of Natural Language Processing applied to biomedical informatics. The aim is to classify Electronic Health Records with respect to the International Classification of Diseas...
Humans Neural Networks, Computer Software Algorithms Spain Computer Graphics Data Mining Medical Informatics Pattern Recognition, Automated International Classification of Diseases Electronic Health Records Deep Learning Natural Language Processing
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Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy.

Journal of translational medicine Nov 21, 2019
BACKGROUND: Secondary and retrospective use of hospital-hosted clinical data provides a time- and cost-efficient alternative to prospective clinical trials for biomarker development. This study aims to create a retrospective clinical dataset of Magne...
International Classification of Diseases Hypoxia-Ischemia, Brain Treatment Outcome Magnetic Resonance Imaging Probability Humans Clinical Trials as Topic Machine Learning Algorithms Biomarkers Infant, Newborn
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Deep learning predicts extreme preterm birth from electronic health records.

Journal of biomedical informatics Oct 31, 2019
OBJECTIVE: Models for predicting preterm birth generally have focused on very preterm (28-32 weeks) and moderate to late preterm (32-37 weeks) settings. However, extreme preterm birth (EPB), before the 28th week of gestational age, accounts for the m...
Humans Algorithms Deep Learning Electronic Health Records Datasets as Topic Infant, Newborn International Classification of Diseases Infant, Extremely Premature
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Leveraging Semantics in WordNet to Facilitate the Computer-Assisted Coding of ICD-11.

IEEE journal of biomedical and health informatics Oct 25, 2019
The International Classification of Diseases (ICD) not only serves as the bedrock for health statistics but also provides a holistic overview of every health aspect of life. This study aims to facilitate the computer-assisted coding of the 11th revis...
Algorithms International Classification of Diseases Humans Natural Language Processing Clinical Coding Medical Informatics Semantics
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Automated detection of altered mental status in emergency department clinical notes: a deep learning approach.

BMC medical informatics and decision making Aug 19, 2019
BACKGROUND: Machine learning has been used extensively in clinical text classification tasks. Deep learning approaches using word embeddings have been recently gaining momentum in biomedical applications. In an effort to automate the identification o...
Case-Control Studies Deep Learning Decision Support Systems, Clinical Emergency Service, Hospital International Classification of Diseases Humans Neural Networks, Computer Female Mental Disorders Adult Electronic Health Records Sensitivity and Specificity Male
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Detection of probable dementia cases in undiagnosed patients using structured and unstructured electronic health records.

BMC medical informatics and decision making Jul 9, 2019
BACKGROUND: Dementia is underdiagnosed in both the general population and among Veterans. This underdiagnosis decreases quality of life, reduces opportunities for interventions, and increases health-care costs. New approaches are therefore necessary ...
Machine Learning Delayed Diagnosis Electronic Health Records Humans International Classification of Diseases Female Aged, 80 and over Veterans Aged Male Dementia
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An empirical evaluation of deep learning for ICD-9 code assignment using MIMIC-III clinical notes.

Computer methods and programs in biomedicine May 25, 2019
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 of patient care history. However, the coding process is tedious and subjective,...
Intensive Care Units Medical Informatics Deep Learning Humans International Classification of Diseases Electronic Health Records Neural Networks, Computer Models, Statistical Reproducibility of Results Regression Analysis Critical Care Algorithms
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Interpretable deep learning to map diagnostic texts to ICD-10 codes.

International journal of medical informatics May 22, 2019
BACKGROUND: Automatic extraction of morbid disease or conditions contained in Death Certificates is a critical process, useful for billing, epidemiological studies and comparison across countries. The fact that these clinical documents are written in...
International Classification of Diseases Neural Networks, Computer Electronic Health Records Deep Learning
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