AIMC Topic: Electronic Health Records

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Detecting Hypoglycemia Incidents Reported in Patients' Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance.

Journal of medical Internet research Mar 11, 2019
BACKGROUND: Improper dosing of medications such as insulin can cause hypoglycemic episodes, which may lead to severe morbidity or even death. Although secure messaging was designed for exchanging nonurgent messages, patients sometimes report hypoglyc...
Electronic Health Records Humans Female Social Media Male Natural Language Processing Hypoglycemia
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Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK.

BMJ open Mar 7, 2019
OBJECTIVE: The primary objective is to develop an automated method for detecting patients that are ready for discharge from intensive care.
Decision Support Techniques Electronic Health Records Female Humans Machine Learning Algorithms Patient Discharge Critical Care Patient Readmission Male England Length of Stay
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Assessment of a Deep Learning Model Based on Electronic Health Record Data to Forecast Clinical Outcomes in Patients With Rheumatoid Arthritis.

JAMA network open Mar 1, 2019
IMPORTANCE: Knowing the future condition of a patient would enable a physician to customize current therapeutic options to prevent disease worsening, but predicting that future condition requires sophisticated modeling and information. If artificial ...
Humans Forecasting Aged Adult Male Prognosis Electronic Health Records Female Cohort Studies Arthritis, Rheumatoid Middle Aged Diagnosis, Computer-Assisted Deep Learning
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Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records.

BMC medical informatics and decision making Feb 28, 2019
BACKGROUND: Life expectancy is one of the most important factors in end-of-life decision making. Good prognostication for example helps to determine the course of treatment and helps to anticipate the procurement of health care services and facilitie...
Humans Life Expectancy Neural Networks, Computer Prognosis Natural Language Processing Electronic Health Records Advance Care Planning Supervised Machine Learning
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Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy (HCM-VAr-Risk Model).

The American journal of cardiology Feb 27, 2019
Clinical risk stratification for sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HC) employs rules derived from American College of Cardiology Foundation/American Heart Association (ACCF/AHA) guidelines or the HCM Risk-SCD model (C-index ∼...
Tachycardia, Ventricular Echocardiography, Stress Retrospective Studies Magnetic Resonance Imaging, Cine Electronic Health Records Predictive Value of Tests Female Registries Middle Aged Humans Cardiomyopathy, Hypertrophic Risk Assessment Reproducibility of Results Machine Learning Electrocardiography Risk Factors Prognosis Male
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Distributed learning from multiple EHR databases: Contextual embedding models for medical events.

Journal of biomedical informatics Feb 27, 2019
Electronic health record (EHR) data provide promising opportunities to explore personalized treatment regimes and to make clinical predictions. Compared with regular clinical data, EHR data are known for their irregularity and complexity. In addition...
Humans Machine Learning Electronic Health Records Diagnosis, Computer-Assisted Computer Communication Networks
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Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition.

Journal of biomedical informatics Feb 25, 2019
Clinical named entity recognition aims to identify and classify clinical terms such as diseases, symptoms, treatments, exams, and body parts in electronic health records, which is a fundamental and crucial task for clinical and translational research...
Natural Language Processing Data Curation Humans Neural Networks, Computer Electronic Health Records Language Deep Learning
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Natural language processing of lifestyle modification documentation.

Health informatics journal Feb 22, 2019
Lifestyle modification, including diet, exercise, and tobacco cessation, is the first-line treatment of many disorders including hypertension, obesity, and diabetes. Lifestyle modification data are not easily retrieved or used in research due to thei...
Life Style Male Natural Language Processing Documentation Humans Research Design Electronic Health Records Female
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MCN: A comprehensive corpus for medical concept normalization.

Journal of biomedical informatics Feb 22, 2019
Normalization of clinical text involves linking different ways of talking about the same clinical concept to the same term in the standardized vocabulary. To date, very few annotated corpora for normalization have been available, and existing corpora...
Vocabulary, Controlled Data Curation Electronic Health Records Natural Language Processing Humans Information Storage and Retrieval
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Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data.

PloS one Feb 22, 2019
BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagnosis remains challenging due to complex presentation. Our objective was to develop a model using readily available electronic health record (EHR) data...
Male Infant Electronic Health Records Sepsis Diagnosis, Computer-Assisted Humans Female Models, Biological Machine Learning Infant, Newborn Critical Care Retrospective Studies
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