AIMC Topic: Electronic Health Records

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Design of an extensive information representation scheme for clinical narratives.

Journal of biomedical semantics Sep 11, 2017
BACKGROUND: Knowledge representation frameworks are essential to the understanding of complex biomedical processes, and to the analysis of biomedical texts that describe them. Combined with natural language processing (NLP), they have the potential t...
Data Mining Biological Ontologies Humans Electronic Health Records Natural Language Processing
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Big Data and Machine Learning: A Resident's Perspective of the 2016 Intersociety Conference.

Journal of the American College of Radiology : JACR Sep 9, 2017
Congresses as Topic Database Management Systems Societies, Medical Electronic Health Records Radiology Radiology Information Systems Humans Machine Learning Forecasting
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Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis.

Scientific reports Sep 7, 2017
Sepsis is a leading cause of death and is the most expensive condition to treat in U.S. hospitals. Despite targeted efforts to automate earlier detection of sepsis, current techniques rely exclusively on using either standard clinical data or novel b...
Machine Learning Decision Support Techniques Biomarkers Humans United States Predictive Value of Tests Electronic Data Processing Electronic Health Records Sepsis ROC Curve
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Early Identification of Patients With Acute Decompensated Heart Failure.

Journal of cardiac failure Sep 5, 2017
BACKGROUND: Interventions to reduce readmissions after acute heart failure hospitalization require early identification of patients. The purpose of this study was to develop and test accuracies of various approaches to identify patients with acute de...
Humans Quality Improvement Early Diagnosis Aged Electronic Health Records Male Acute Disease Machine Learning Female Middle Aged Registries Hospitalization Algorithms Heart Failure Retrospective Studies
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Accurate Identification of Fatty Liver Disease in Data Warehouse Utilizing Natural Language Processing.

Digestive diseases and sciences Aug 31, 2017
INTRODUCTION: Natural language processing is a powerful technique of machine learning capable of maximizing data extraction from complex electronic medical records.
Fatty Liver United States Department of Veterans Affairs Tomography, X-Ray Computed Humans Electronic Health Records Algorithms United States Predictive Value of Tests Veterans Health Ultrasonography Databases, Factual Magnetic Resonance Imaging Prognosis Natural Language Processing Data Mining
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Machine Learning Approaches on Diagnostic Term Encoding With the ICD for Clinical Documentation.

IEEE journal of biomedical and health informatics Aug 24, 2017
This work focuses on data mining applied to the clinical documentation domain. Diagnostic terms (DTs) are used as keywords to retrieve valuable information from electronic health records. Indeed, they are encoded manually by experts following the Int...
International Classification of Diseases Humans Natural Language Processing Machine Learning Data Mining Electronic Health Records Documentation
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Discovering associations between adverse drug events using pattern structures and ontologies.

Journal of biomedical semantics Aug 22, 2017
BACKGROUND: Patient data, such as electronic health records or adverse event reporting systems, constitute an essential resource for studying Adverse Drug Events (ADEs). We explore an original approach to identify frequently associated ADEs in subgro...
Humans Phenotype Electronic Health Records Drug-Related Side Effects and Adverse Reactions Biological Ontologies Pattern Recognition, Automated
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Word2Vec inversion and traditional text classifiers for phenotyping lupus.

BMC medical informatics and decision making Aug 22, 2017
BACKGROUND: Identifying patients with certain clinical criteria based on manual chart review of doctors' notes is a daunting task given the massive amounts of text notes in the electronic health records (EHR). This task can be automated using text cl...
Unified Medical Language System Electronic Health Records Natural Language Processing Bayes Theorem Lupus Erythematosus, Systemic Datasets as Topic Artificial Intelligence International Classification of Diseases Humans Machine Learning Neural Networks, Computer Algorithms
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Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records.

BMC medical informatics and decision making Aug 8, 2017
BACKGROUND: Cardiovascular disease (CVD) has become the leading cause of death in China, and most of the cases can be prevented by controlling risk factors. The goal of this study was to build a corpus of CVD risk factor annotations based on Chinese ...
China Natural Language Processing Information Storage and Retrieval Electronic Health Records Risk Factors Cardiovascular Diseases Humans
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Active learning reduces annotation time for clinical concept extraction.

International journal of medical informatics Aug 5, 2017
OBJECTIVE: To investigate: (1) the annotation time savings by various active learning query strategies compared to supervised learning and a random sampling baseline, and (2) the benefits of active learning-assisted pre-annotations in accelerating th...
Algorithms Information Storage and Retrieval Humans Electronic Health Records Problem-Based Learning Machine Learning Natural Language Processing
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