AIMC Topic: Electronic Health Records

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A comparison of word embeddings for the biomedical natural language processing.

Journal of biomedical informatics Sep 12, 2018
BACKGROUND: Word embeddings have been prevalently used in biomedical Natural Language Processing (NLP) applications due to the ability of the vector representations being able to capture useful semantic properties and linguistic relationships between...
Middle Aged Adolescent Models, Statistical Natural Language Processing Aged Young Adult Adult Male Semantics Machine Learning Family Health PubMed Electronic Health Records Unified Medical Language System Probability Female Humans Information Storage and Retrieval Linguistics Medical Informatics Minnesota
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Value of Neighborhood Socioeconomic Status in Predicting Risk of Outcomes in Studies That Use Electronic Health Record Data.

JAMA network open Sep 7, 2018
IMPORTANCE: Data from electronic health records (EHRs) are increasingly used for risk prediction. However, EHRs do not reliably collect sociodemographic and neighborhood information, which has been shown to be associated with health. The added contri...
Residence Characteristics Outcome Assessment, Health Care Adult Health Status Disparities Income Humans Male North Carolina Social Determinants of Health Electronic Health Records Middle Aged Racial Groups Female Cohort Studies Social Class Aged
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Should Artificial Intelligence Augment Medical Decision Making? The Case for an Autonomy Algorithm.

AMA journal of ethics Sep 1, 2018
A significant proportion of elderly and psychiatric patients do not have the capacity to make health care decisions. We suggest that machine learning technologies could be harnessed to integrate data mined from electronic health records (EHRs) and so...
Humans Social Media Personal Autonomy Informed Consent Mental Disorders Data Mining Technology Electronic Health Records Decision Making Health Services for the Aged Artificial Intelligence Machine Learning Algorithms Forecasting
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SNOMED CT standard ontology based on the ontology for general medical science.

BMC medical informatics and decision making Aug 31, 2018
BACKGROUND: Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is a comprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic health data. Some efforts have be...
Systematized Nomenclature of Medicine Biological Ontologies Humans Electronic Health Records Biomedical Research Decision Support Systems, Clinical
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Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease.

PloS one Aug 31, 2018
Prognostic modelling is important in clinical practice and epidemiology for patient management and research. Electronic health records (EHR) provide large quantities of data for such models, but conventional epidemiological approaches require signifi...
Prognosis Electronic Health Records Female Aged Aged, 80 and over Adult Male Middle Aged Humans Machine Learning Models, Biological Diagnosis, Computer-Assisted Survival Analysis Cohort Studies Data Interpretation, Statistical Coronary Artery Disease
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Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.

Journal of biomedical informatics Aug 30, 2018
We studied how lagged linear regression can be used to detect the physiologic effects of drugs from data in the electronic health record (EHR). We systematically examined the effect of methodological variations ((i) time series construction, (ii) tem...
Academic Medical Centers Linear Models New York City Drug Therapy Databases, Factual Electronic Health Records Reproducibility of Results Time Factors Humans Area Under Curve Machine Learning Pharmaceutical Preparations ROC Curve Data Collection Regression Analysis
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Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks.

Yearbook of medical informatics Aug 29, 2018
OBJECTIVES:  To review the latest scientific challenges organized in clinical Natural Language Processing (NLP) by highlighting the tasks, the most effective methodologies used, the data, and the sharing strategies.
Electronic Health Records Social Media Natural Language Processing Confidentiality Adverse Drug Reaction Reporting Systems Drug Labeling
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Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting.

Journal of biomedical informatics Aug 14, 2018
OBJECTIVE: Instruments rating risk of harm to self and others are widely used in inpatient forensic psychiatry settings. A potential alternate or supplementary means of risk prediction is from the automated analysis of case notes in Electronic Health...
Sensitivity and Specificity Mental Health Risk Assessment Support Vector Machine Humans Algorithms Electronic Health Records Reproducibility of Results Ethics, Medical Unified Medical Language System Forensic Psychiatry Tasmania Mental Health Services Regression Analysis Inpatients Natural Language Processing
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Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.

JAMA network open Aug 3, 2018
IMPORTANCE: Current methods for identifying hospitalized patients at increased risk of delirium require nurse-administered questionnaires with moderate accuracy.
Models, Educational Electronic Health Records Female Hospitalization Aged Young Adult Risk Assessment Cognitive Dysfunction Humans Adult Adolescent Machine Learning Male Cohort Studies Forecasting Middle Aged Delirium Retrospective Studies
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Machine Learning for Prediction in Electronic Health Data.

JAMA network open Aug 3, 2018
Cognitive Dysfunction Delirium Humans Machine Learning Electronic Health Records
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