AIMC Topic: Electronic Health Records
Clear Filters Showing 1531 to 1540 of 2596 articles
Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures.
IEEE journal of biomedical and health informatics
Mar 1, 2017
Electronic health records (EHR) provide opportunities to leverage vast arrays of data to help prevent adverse events, improve patient outcomes, and reduce hospital costs. This paper develops a postoperative complications prediction system by extracti...
Structuring Legacy Pathology Reports by openEHR Archetypes to Enable Semantic Querying.
Methods of information in medicine
Feb 28, 2017
BACKGROUND: Clinical information is often stored as free text, e.g. in discharge summaries or pathology reports. These documents are semi-structured using section headers, numbered lists, items and classification strings. However, it is still challen...
Early recognition of multiple sclerosis using natural language processing of the electronic health record.
BMC medical informatics and decision making
Feb 28, 2017
BACKGROUND: Diagnostic accuracy might be improved by algorithms that searched patients' clinical notes in the electronic health record (EHR) for signs and symptoms of diseases such as multiple sclerosis (MS). The focus this study was to determine if ...
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 ...
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 ...
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...
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...
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...
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...
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...
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