AIMC Topic: International Classification of Diseases
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Machine learning for emerging infectious disease field responses.
Scientific reports
Jan 10, 2022
Emerging infectious diseases (EIDs), including the latest COVID-19 pandemic, have emerged and raised global public health crises in recent decades. Without existing protective immunity, an EID may spread rapidly and cause mass casualties in a very sh...
ICD-11: an international classification of diseases for the twenty-first century.
BMC medical informatics and decision making
Nov 9, 2021
BACKGROUND: The International Classification of Diseases (ICD) has long been the main basis for comparability of statistics on causes of mortality and morbidity between places and over time. This paper provides an overview of the recently completed 1...
Artificial Intelligence Algorithm with ICD Coding Technology Guided by the Embedded Electronic Medical Record System in Medical Record Information Management.
Journal of healthcare engineering
Aug 30, 2021
The study aims to explore the application of international classification of diseases (ICD) coding technology and embedded electronic medical record (EMR) system. The study established an EMR information knowledge system and collected the data of pat...
Medical code prediction via capsule networks and ICD knowledge.
BMC medical informatics and decision making
Jul 30, 2021
BACKGROUND: Clinical notes record the health status, clinical manifestations and other detailed information of each patient. The International Classification of Diseases (ICD) codes are important labels for electronic health records. Automatic medica...
Automated ICD coding for primary diagnosis via clinically interpretable machine learning.
International journal of medical informatics
Jul 27, 2021
BACKGROUND: Computer-assisted clinical coding (CAC) based on automated coding algorithms has been expected to improve the International Classification of Disease, tenth version (ICD-10) coding quality and productivity, whereas studies oriented to pri...
Accuracy of Asthma Computable Phenotypes to Identify Pediatric Asthma at an Academic Institution.
Methods of information in medicine
Jul 14, 2021
OBJECTIVES: Asthma is a heterogenous condition with significant diagnostic complexity, including variations in symptoms and temporal criteria. The disease can be difficult for clinicians to diagnose accurately. Properly identifying asthma patients fr...
Establishing a carotid artery stenosis disease cohort for comparative effectiveness research using natural language processing.
Journal of vascular surgery
Jun 25, 2021
OBJECTIVE: Investigation of asymptomatic carotid stenosis treatment is hindered by the lack of a contemporary population-based disease cohort. We describe the use of natural language processing (NLP) to identify stenosis in patients undergoing caroti...
Computed Tomography Angiography
Carotid Stenosis
Comparative Effectiveness Research
Ultrasonography, Doppler
California
International Classification of Diseases
Magnetic Resonance Angiography
Medical Records
Asymptomatic Diseases
Predictive Value of Tests
Natural Language Processing
Data Mining
Severity of Illness Index
Hemodynamics
Humans
Retrospective Studies
Cross-Sectional Studies
A comparison of natural language processing to ICD-10 codes for identification and characterization of pulmonary embolism.
Thrombosis research
May 6, 2021
INTRODUCTION: The 10th revision of the International Classification of Diseases (ICD-10) codes is frequently used to identify pulmonary embolism (PE) events, although the validity of ICD-10 has been questioned. Natural language processing (NLP) is a ...
Characterizing chronological accumulation of comorbidities in healthy veterans: a computational approach.
Scientific reports
Apr 14, 2021
Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personalized preventative care. We applied a directed network graph to electronic health record (EHR) data and characterized comorbidities in a cohort of healt...
GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification.
Journal of biomedical informatics
Feb 15, 2021
Exponential growth of biomedical literature and clinical data demands more robust yet precise computational methodologies to extract useful insights from biomedical literature and to perform accurate assignment of disease-specific codes. Such approac...
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