AIMC Topic: Electronic Health Records

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Using multivariate long short-term memory neural network to detect aberrant signals in health data for quality assurance.

International journal of medical informatics Dec 16, 2020
BACKGROUND: The data quality of electronic health records (EHR) has been a topic of increasing interest to clinical and health services researchers. One indicator of possible errors in data is a large change in the frequency of observations in chroni...
Algorithms Humans Electronic Health Records Neural Networks, Computer
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Treatment effect prediction with adversarial deep learning using electronic health records.

BMC medical informatics and decision making Dec 14, 2020
BACKGROUND: Treatment effect prediction (TEP) plays an important role in disease management by ensuring that the expected clinical outcomes are obtained after performing specialized and sophisticated treatments on patients given their personalized cl...
Acute Coronary Syndrome Humans Electronic Health Records Logistic Models Deep Learning Heart Failure
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Digital Gastroenterology.

Journal of gastrointestinal and liver diseases : JGLD Dec 12, 2020
Telemedicine Diffusion of Innovation Mobile Applications Remote Sensing Technology Digital Technology Forecasting Electronic Health Records Gastroenterology Biosensing Techniques Humans Artificial Intelligence
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Artificial intelligence in the diagnosis of pediatric allergic diseases.

Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology Dec 11, 2020
Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines capable of learning from data and interacting with the human world. Early diagnosis and diagnostics, self-care, prevention and wellness, clinical decisi...
Artificial Intelligence Algorithms Humans Child Hypersensitivity Delivery of Health Care Electronic Health Records
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Applying Convolutional Neural Networks to Predict the ICD-9 Codes of Medical Records.

Sensors (Basel, Switzerland) Dec 11, 2020
The International Statistical Classification of Disease and Related Health Problems (ICD) is an international standard system for categorizing and reporting diseases, injuries, disorders, and health conditions. Most previously-proposed disease predic...
Neural Networks, Computer Algorithms Humans International Classification of Diseases Electronic Health Records Deep Learning
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Adverse Drug Reaction extraction: Tolerance to entity recognition errors and sub-domain variants.

Computer methods and programs in biomedicine Dec 5, 2020
Drug-Related Side Effects and Adverse Reactions Data Mining Humans Electronic Health Records Deep Learning Natural Language Processing
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A Method to Improve Availability and Quality of Patient Race Data in an Electronic Health Record System.

Applied clinical informatics Nov 25, 2020
BACKGROUND: Although federal regulations mandate documentation of structured race data according to Office of Management and Budget (OMB) categories in electronic health record (EHR) systems, many institutions have reported gaps in EHR race data that...
Data Accuracy Documentation Humans Computer Systems Electronic Health Records Natural Language Processing
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Natural language processing with deep learning for medical adverse event detection from free-text medical narratives: A case study of detecting total hip replacement dislocation.

Computers in biology and medicine Nov 24, 2020
BACKGROUND: Accurate and timely detection of medical adverse events (AEs) from free-text medical narratives can be challenging. Natural language processing (NLP) with deep learning has already shown great potential for analyzing free-text data, but i...
Arthroplasty, Replacement, Hip Machine Learning Deep Learning Electronic Health Records Natural Language Processing Humans Neural Networks, Computer
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Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining.

Journal of healthcare engineering Nov 24, 2020
BACKGROUND: Clinical named entity recognition is the basic task of mining electronic medical records text, which are with some challenges containing the language features of Chinese electronic medical records text with many compound entities, serious...
China Language Humans Natural Language Processing Deep Learning Electronic Health Records
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From electronic health records to terminology base: A novel knowledge base enrichment approach.

Journal of biomedical informatics Nov 21, 2020
Enriching terminology base (TB) is an important and continuous process, since formal term can be renamed and new term alias emerges all the time. As a potential supplementary for TB enrichment, electronic health record (EHR) is a fundamental source f...
China Natural Language Processing Knowledge Bases Semantics Electronic Health Records
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