AIMC Topic: Electronic Health Records

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A study of EMR-based medical knowledge network and its applications.

Computer methods and programs in biomedicine Feb 23, 2017
BACKGROUND AND OBJECTIVE: Electronic medical records (EMRs) contain an amount of medical knowledge which can be used for clinical decision support. We attempt to integrate this medical knowledge into a complex network, and then implement a diagnosis ...
Electronic Health Records Reproducibility of Results Diagnosis, Computer-Assisted Humans Databases, Factual Poisson Distribution Models, Statistical Knowledge Bases Medical Informatics China Decision Support Systems, Clinical Cluster Analysis
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Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Treatment guidelines for management of type-2 diabetes mellitus (T2DM) are controversial because existing evidence from randomized clinical trials do not address many important clinical questions. Data from Electronic Medical Records (EMRs) has been ...
Male Critical Pathways Metformin Female Middle Aged Consolidation Chemotherapy Humans Proportional Hazards Models Hypoglycemic Agents Sitagliptin Phosphate Diabetes Mellitus, Type 2 Machine Learning Aged Electronic Health Records Glycated Hemoglobin Adult
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Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
An important aspect of post-marketing drug surveillance involves identifying potential side-effects utilizing adverse drug event (ADE) reporting systems and/or Electronic Health Records. These data are noisy, necessitating identified drug/ADE associa...
Humans Machine Learning Electronic Health Records Drug-Related Side Effects and Adverse Reactions ROC Curve Adverse Drug Reaction Reporting Systems Product Surveillance, Postmarketing Models, Theoretical Support Vector Machine
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Controlling testing volume for respiratory viruses using machine learning and text mining.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Viral testing for pediatric inpatients with respiratory symptoms is common, with considerable associated charges. In an attempt to reduce testing volumes, we studied whether data available at the time of admission could aid in identifying children wi...
Male Infant Adolescent Humans ROC Curve Virus Diseases Female Child, Preschool Decision Trees Machine Learning Models, Theoretical Data Mining Respiratory Tract Infections Hospitalization Sensitivity and Specificity Retrospective Studies Electronic Health Records Child Viruses
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Ensembles of NLP Tools for Data Element Extraction from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Natural Language Processing (NLP) is essential for concept extraction from narrative text in electronic health records (EHR). To extract numerous and diverse concepts, such as data elements (i.e., important concepts related to a certain medical condi...
Data Collection Information Storage and Retrieval Humans Electronic Health Records Natural Language Processing
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Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Manual Chart Review (MCR) is an important but labor-intensive task for clinical research and quality improvement. In this study, aiming to accelerate the process of extracting postoperative outcomes from medical charts, we developed an automated post...
Urinary Tract Infections Machine Learning Surgical Wound Infection Medical Audit Humans Postoperative Complications Algorithms Shock, Septic Sepsis Electronic Health Records Pneumonia
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Automatic data source identification for clinical trial eligibility criteria resolution.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Clinical trial coordinators refer to both structured and unstructured sources of data when evaluating a subject for eligibility. While some eligibility criteria can be resolved using structured data, some require manual review of clinical notes. An i...
Leukemia, Lymphocytic, Chronic, B-Cell Natural Language Processing Patient Selection Clinical Trials as Topic Humans Eligibility Determination Machine Learning Heart Failure Electronic Health Records Information Storage and Retrieval
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Knowledge as a Service at the Point of Care.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, ord...
Humans Electronic Health Records Knowledge Management Patient Care Management Ambulatory Care Facilities Expert Systems Minnesota Point-of-Care Systems Decision Support Systems, Clinical Workflow
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CMedTEX: A Rule-based Temporal Expression Extraction and Normalization System for Chinese Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Time is an important aspect of information and is very useful for information utilization. The goal of this study was to analyze the challenges of temporal expression (TE) extraction and normalization in Chinese clinical notes by assessing the perfor...
Humans Natural Language Processing Electronic Health Records Time Information Storage and Retrieval China
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Towards Comprehensive Clinical Abbreviation Disambiguation Using Machine-Labeled Training Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Abbreviation disambiguation in clinical texts is a problem handled well by fully supervised machine learning methods. Acquiring training data, however, is expensive and would be impractical for large numbers of abbreviations in specialized corpora. A...
Natural Language Processing Bayes Theorem Abbreviations as Topic Algorithms Electronic Health Records Logistic Models
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