AIMC Topic: Electronic Health Records

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A knowledge base of clinical trial eligibility criteria.

Journal of biomedical informatics Apr 1, 2021
OBJECTIVE: We present the Clinical Trial Knowledge Base, a regularly updated knowledge base of discrete clinical trial eligibility criteria equipped with a web-based user interface for querying and aggregate analysis of common eligibility criteria.
Natural Language Processing Humans Algorithms Knowledge Bases Databases, Factual Clinical Trials as Topic Electronic Health Records
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Ontology-driven weak supervision for clinical entity classification in electronic health records.

Nature communications Apr 1, 2021
In the electronic health record, using clinical notes to identify entities such as disorders and their temporality (e.g. the order of an event relative to a time index) can inform many important analyses. However, creating training data for clinical ...
Humans Expert Systems Machine Learning Datasets as Topic Electronic Health Records COVID-19 Data Curation SARS-CoV-2 Natural Language Processing
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Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation.

Respiratory research Mar 31, 2021
BACKGROUND: Pneumonia is the most frequently encountered postoperative pulmonary complications (PPC) after orthotopic liver transplantation (OLT), which cause high morbidity and mortality rates. We aimed to develop a model to predict postoperative pn...
Liver Transplantation Pneumonia Predictive Value of Tests Humans Male Middle Aged Risk Assessment Female Deep Learning Risk Factors Machine Learning Treatment Outcome Adult Retrospective Studies Support Vector Machine Electronic Health Records
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Prediction of risk of acquiring urinary tract infection during hospital stay based on machine-learning: A retrospective cohort study.

PloS one Mar 31, 2021
BACKGROUND: Healthcare associated infections (HAI) are a major burden for the healthcare system and associated with prolonged hospital stay, increased morbidity, mortality and costs. Healthcare associated urinary tract infections (HA-UTI) accounts fo...
Denmark Risk Factors Urinary Tract Infections Aged Cross Infection Retrospective Studies Young Adult Length of Stay Electronic Health Records Adult ROC Curve Humans Female Male Machine Learning Patient Admission Middle Aged
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Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records: A retrospective observational cohort study in a university hospital in Japan.

International journal of nursing studies Mar 26, 2021
BACKGROUND: In hospitals, nurses are responsible for pressure injury risk assessment using several kinds of risk assessment scales. However, their predictive validity is insufficient to initiate targeted preventive strategy for each patient. The use ...
Pressure Ulcer Japan Activities of Daily Living Electronic Health Records Humans Supervised Machine Learning Retrospective Studies Hospitals, University
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Text mining occupations from the mental health electronic health record: a natural language processing approach using records from the Clinical Record Interactive Search (CRIS) platform in south London, UK.

BMJ open Mar 25, 2021
OBJECTIVES: We set out to develop, evaluate and implement a novel application using natural language processing to text mine occupations from the free-text of psychiatric clinical notes.
United Kingdom London Occupations Adult Mental Health Male Humans Adolescent Electronic Health Records Natural Language Processing Data Mining
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Automatic phenotyping of electronical health record: PheVis algorithm.

Journal of biomedical informatics Mar 19, 2021
Electronic Health Records (EHRs) often lack reliable annotation of patient medical conditions. Phenorm, an automated unsupervised algorithm to identify patient medical conditions from EHR data, has been developed. PheVis extends PheNorm at the visit ...
Humans Machine Learning Algorithms Electronic Health Records Arthritis, Rheumatoid Natural Language Processing
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Using deep learning and natural language processing models to detect child physical abuse.

Journal of pediatric surgery Mar 18, 2021
BACKGROUND: The recognition of child physical abuse can be challenging and often requires a multidisciplinary assessment. Deep learning models, based on clinical characteristics, laboratory studies, and imaging findings, were developed to facilitate ...
Deep Learning Child Natural Language Processing Radiography Physical Abuse Humans Electronic Health Records
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French FastContext: A publicly accessible system for detecting negation, temporality and experiencer in French clinical notes.

Journal of biomedical informatics Mar 15, 2021
The context of medical conditions is an important feature to consider when processing clinical narratives. NegEx and its extension ConText became the most well-known rule-based systems that allow determining whether a medical condition is negated, hi...
Language Natural Language Processing Humans Algorithms Electronic Health Records
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Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition.

Journal of biomedical informatics Mar 15, 2021
Named entity recognition (NER) is a fundamental task in Chinese natural language processing (NLP) tasks. Recently, Chinese clinical NER has also attracted continuous research attention because it is an essential preparation for clinical data mining. ...
Neural Networks, Computer Electronic Health Records China Natural Language Processing Data Mining
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