AIMC Topic: Electronic Health Records

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Machine learning approaches to personalize early prediction of asthma exacerbations.

Annals of the New York Academy of Sciences Sep 14, 2016
Patient telemonitoring results in an aggregation of significant amounts of information about patient disease trajectory. However, the potential use of this information for early prediction of exacerbations in adult asthma patients has not been system...
Disease Progression Humans Machine Learning Severity of Illness Index Prognosis ROC Curve Electronic Health Records Decision Support Systems, Clinical Algorithms Precision Medicine Adult Self Care Asthma Combined Modality Therapy Computational Biology Internet Telemedicine Monitoring, Physiologic Models, Biological Bayes Theorem
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A Part-Of-Speech term weighting scheme for biomedical information retrieval.

Journal of biomedical informatics Sep 1, 2016
In the era of digitalization, information retrieval (IR), which retrieves and ranks documents from large collections according to users' search queries, has been popularly applied in the biomedical domain. Building patient cohorts using electronic he...
Linguistics Electronic Health Records Humans Algorithms Natural Language Processing Information Storage and Retrieval
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Prediction of Clinical Deterioration in Hospitalized Adult Patients with Hematologic Malignancies Using a Neural Network Model.

PloS one Aug 17, 2016
INTRODUCTION: Clinical deterioration (ICU transfer and cardiac arrest) occurs during approximately 5-10% of hospital admissions. Existing prediction models have a high false positive rate, leading to multiple false alarms and alarm fatigue. We used r...
Cohort Studies Algorithms Electronic Health Records Adult Models, Theoretical Prognosis Aged, 80 and over Humans Female Hematologic Neoplasms Heart Arrest Retrospective Studies Treatment Outcome Young Adult Aged Neural Networks, Computer Critical Care Monitoring, Physiologic Machine Learning Male Early Diagnosis Middle Aged Vital Signs Adolescent
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Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.

Journal of the American Medical Informatics Association : JAMIA Aug 7, 2016
OBJECTIVE: Phenotyping algorithms applied to electronic health record (EHR) data enable investigators to identify large cohorts for clinical and genomic research. Algorithm development is often iterative, depends on fallible investigator intuition, a...
Clinical Coding Male Middle Aged ROC Curve Natural Language Processing Information Storage and Retrieval Hypertension Blood Pressure Determination Electronic Health Records Female Aged Machine Learning Algorithms Phenotype Humans
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Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting.

Health informatics journal Aug 4, 2016
Hospital-acquired infections pose a significant risk to patient health, while their surveillance is an additional workload for hospital staff. Our overall aim is to build a surveillance system that reliably detects all patient records that potentiall...
Electronic Health Records Mass Screening Support Vector Machine Infections Humans Machine Learning Data Analysis Iatrogenic Disease
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A pilot study of a heuristic algorithm for novel template identification from VA electronic medical record text.

Journal of biomedical informatics Aug 3, 2016
RATIONALE: Templates in text notes pose challenges for automated information extraction algorithms. We propose a method that identifies novel templates in plain text medical notes. The identification can then be used to either include or exclude temp...
Electronic Health Records Pilot Projects Natural Language Processing Heuristics Humans Algorithms
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Learning temporal weights of clinical events using variable importance.

BMC medical informatics and decision making Jul 21, 2016
BACKGROUND: Longitudinal data sources, such as electronic health records (EHRs), are very valuable for monitoring adverse drug events (ADEs). However, ADEs are heavily under-reported in EHRs. Using machine learning algorithms to automatically detect ...
Humans Machine Learning Drug-Related Side Effects and Adverse Reactions Electronic Health Records Pharmacovigilance
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Ensembles of randomized trees using diverse distributed representations of clinical events.

BMC medical informatics and decision making Jul 21, 2016
BACKGROUND: Learning deep representations of clinical events based on their distributions in electronic health records has been shown to allow for subsequent training of higher-performing predictive models compared to the use of shallow, count-based ...
Decision Trees Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Semantics Machine Learning Electronic Health Records Models, Theoretical Humans
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Extracting Information from Electronic Medical Records to Identify the Obesity Status of a Patient Based on Comorbidities and Bodyweight Measures.

Journal of medical systems Jul 11, 2016
Obesity is a chronic disease with an increasing impact on the world's population. In this work, we present a method of identifying obesity automatically using text mining techniques and information related to body weight measures and obesity comorbid...
Overweight Data Mining Humans Natural Language Processing Electronic Health Records Support Vector Machine Bayes Theorem Artificial Intelligence Comorbidity Obesity
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Detecting the presence of an indwelling urinary catheter and urinary symptoms in hospitalized patients using natural language processing.

Journal of biomedical informatics Jul 9, 2016
OBJECTIVE: To develop a natural language processing pipeline to extract positively asserted concepts related to the presence of an indwelling urinary catheter in hospitalized patients from the free text of the electronic medical note. The goal is to ...
Electronic Health Records Natural Language Processing Humans Urinary Tract Infections Data Mining Urinary Catheters
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