AIMC Topic: International Classification of Diseases

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Open Globe Injury Patient Identification in Warfare Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
The aim of this study is to utilize the Defense and Veterans Eye Injury and Vision Registry clinical data derived from DoD and VA medical systems which include documentation of care while in combat, and develop methods for comprehensive and reliable ...
Internet Documentation Datasets as Topic International Classification of Diseases Support Vector Machine Ophthalmology Registries Military Medicine Medical Records Systems, Computerized Veterans Eye Injuries Humans
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Automated ICD-9 Coding via A Deep Learning Approach.

IEEE/ACM transactions on computational biology and bioinformatics Mar 20, 2018
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 manual coding is expensive, time-consuming, and inefficient. Inspired by the...
Humans Neural Networks, Computer Algorithms Electronic Health Records Biomimetics Reproducibility of Results Deep Learning Medical Informatics International Classification of Diseases Clinical Coding
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Deep neural models for ICD-10 coding of death certificates and autopsy reports in free-text.

Journal of biomedical informatics Feb 26, 2018
We address the assignment of ICD-10 codes for causes of death by analyzing free-text descriptions in death certificates, together with the associated autopsy reports and clinical bulletins, from the Portuguese Ministry of Health. We leverage a deep n...
Clinical Coding Death Certificates Autopsy Data Mining International Classification of Diseases Humans Neural Networks, Computer Electronic Health Records Natural Language Processing
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Machine Learning Approaches on Diagnostic Term Encoding With the ICD for Clinical Documentation.

IEEE journal of biomedical and health informatics Aug 24, 2017
This work focuses on data mining applied to the clinical documentation domain. Diagnostic terms (DTs) are used as keywords to retrieve valuable information from electronic health records. Indeed, they are encoded manually by experts following the Int...
Humans Machine Learning Documentation International Classification of Diseases Electronic Health Records Natural Language Processing Data Mining
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Word2Vec inversion and traditional text classifiers for phenotyping lupus.

BMC medical informatics and decision making Aug 22, 2017
BACKGROUND: Identifying patients with certain clinical criteria based on manual chart review of doctors' notes is a daunting task given the massive amounts of text notes in the electronic health records (EHR). This task can be automated using text cl...
Humans Neural Networks, Computer Datasets as Topic International Classification of Diseases Unified Medical Language System Electronic Health Records Natural Language Processing Artificial Intelligence Bayes Theorem Machine Learning Lupus Erythematosus, Systemic Algorithms
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Tool-supported Interactive Correction and Semantic Annotation of Narrative Clinical Reports.

Methods of information in medicine Apr 28, 2017
OBJECTIVES: Our main objective is to design a method of, and supporting software for, interactive correction and semantic annotation of narrative clinical reports, which would allow for their easier and less erroneous processing outside their origina...
Meaningful Use Word Processing Semantics International Classification of Diseases Vocabulary, Controlled Software Writing Electronic Health Records User-Computer Interface Natural Language Processing Data Accuracy Guidelines as Topic Machine Learning
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Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning.

PloS one Apr 6, 2017
OBJECTIVE: To demonstrate the incremental benefit of using free text data in addition to vital sign and demographic data to identify patients with suspected infection in the emergency department.
Emergency Service, Hospital Automation International Classification of Diseases Male Middle Aged Decision Support Systems, Clinical Triage Female Humans Aged Machine Learning Retrospective Studies Adult
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Mining peripheral arterial disease cases from narrative clinical notes using natural language processing.

Journal of vascular surgery Feb 8, 2017
OBJECTIVE: Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects millions of individuals worldwide. We developed a natural language processing (NLP) system for automated ascertainment of PAD cases from clinical narrative n...
International Classification of Diseases Administrative Claims, Healthcare Minnesota Natural Language Processing Data Mining Ankle Brachial Index Algorithms Databases, Factual Retrospective Studies Electronic Health Records Lower Extremity Peripheral Arterial Disease Humans Models, Statistical
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Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection.

PloS one Feb 6, 2017
OBJECTIVES: Widespread implementation of electronic databases has improved the accessibility of plaintext clinical information for supplementary use. Numerous machine learning techniques, such as supervised machine learning approaches or ontology-bas...
Humans Algorithms Databases, Factual Clinical Decision-Making Models, Theoretical Death Support Vector Machine Autopsy Cause of Death International Classification of Diseases
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Large-scale identification of patients with cerebral aneurysms using natural language processing.

Neurology Dec 7, 2016
OBJECTIVE: To use natural language processing (NLP) in conjunction with the electronic medical record (EMR) to accurately identify patients with cerebral aneurysms and their matched controls.
Middle Aged Electronic Health Records Area Under Curve Case-Control Studies Humans Female International Classification of Diseases Natural Language Processing Algorithms Aged Intracranial Aneurysm Retrospective Studies Male
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