AIMC Topic: Electronic Health Records
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Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text.
Journal of the American Medical Informatics Association : JAMIA
Apr 9, 2015
OBJECTIVE: Extracting medical knowledge from electronic medical records requires automated approaches to combat scalability limitations and selection biases. However, existing machine learning approaches are often regarded by clinicians as black boxe...
Building bridges across electronic health record systems through inferred phenotypic topics.
Journal of biomedical informatics
Apr 1, 2015
OBJECTIVE: Data in electronic health records (EHRs) is being increasingly leveraged for secondary uses, ranging from biomedical association studies to comparative effectiveness. To perform studies at scale and transfer knowledge from one institution ...
Hierarchical classification of large-scale patient records for automatic treatment stratification.
IEEE journal of biomedical and health informatics
Mar 19, 2015
In this paper, a hierarchical learning algorithm is developed for classifying large-scale patient records, e.g., categorizing large-scale patient records into large numbers of known patient categories (i.e., thousands of known patient categories) for...
DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx.
Journal of biomedical informatics
Mar 16, 2015
In Electronic Health Records (EHRs), much of valuable information regarding patients' conditions is embedded in free text format. Natural language processing (NLP) techniques have been developed to extract clinical information from free text. One cha...
Regular expression-based learning to extract bodyweight values from clinical notes.
Journal of biomedical informatics
Mar 5, 2015
BACKGROUND: Bodyweight related measures (weight, height, BMI, abdominal circumference) are extremely important for clinical care, research and quality improvement. These and other vitals signs data are frequently missing from structured tables of ele...
Transformation of standardized clinical models based on OWL technologies: from CEM to OpenEHR archetypes.
Journal of the American Medical Informatics Association : JAMIA
Feb 10, 2015
INTRODUCTION: The semantic interoperability of electronic healthcare records (EHRs) systems is a major challenge in the medical informatics area. International initiatives pursue the use of semantically interoperable clinical models, and ontologies h...
Knowledge retrieval from PubMed abstracts and electronic medical records with the Multiple Sclerosis Ontology.
PloS one
Feb 9, 2015
BACKGROUND: In order to retrieve useful information from scientific literature and electronic medical records (EMR) we developed an ontology specific for Multiple Sclerosis (MS).
Domain adaption of parsing for operative notes.
Journal of biomedical informatics
Feb 7, 2015
BACKGROUND: Full syntactic parsing of clinical text as a part of clinical natural language processing (NLP) is critical for a wide range of applications. Several robust syntactic parsers are publicly available to produce linguistic representations fo...
Ontology-based data integration between clinical and research systems.
PloS one
Jan 14, 2015
Data from the electronic medical record comprise numerous structured but uncoded elements, which are not linked to standard terminologies. Reuse of such data for secondary research purposes has gained in importance recently. However, the identificati...
Evaluation of PHI Hunter in Natural Language Processing Research.
Perspectives in health information management
Jan 1, 2015
OBJECTIVES: We introduce and evaluate a new, easily accessible tool using a common statistical analysis and business analytics software suite, SAS, which can be programmed to remove specific protected health information (PHI) from a text document. Re...
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