AIMC Topic:
Data Mining
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Feasibility and Utility of Lexical Analysis for Occupational Health Text.
Journal of occupational and environmental medicine
Jun 1, 2017
OBJECTIVE: Assess feasibility and potential utility of natural language processing (NLP) for storing and analyzing occupational health data.
Artificial intelligence: A social spin on language analysis.
Nature
May 10, 2017
Screening Electronic Health Record-Related Patient Safety Reports Using Machine Learning.
Journal of patient safety
Mar 1, 2017
INTRODUCTION: The objective of this study was to develop a semiautomated approach to screening cases that describe hazards associated with the electronic health record (EHR) from a mandatory, population-based patient safety reporting system.
A New Essential Functions Installed DWH in Hospital Information System: Process Mining Techniques and Natural Language Processing.
Studies in health technology and informatics
Jan 1, 2017
Several kinds of event log data produced in daily clinical activities have yet to be used for secure and efficient improvement of hospital activities. Data Warehouse systems in Hospital Information Systems used for the analysis of structured data suc...
Identifying Chemical-Disease Relationship in Biomedical Text Using a Multiple Kernel Learning-Boosting Method.
Studies in health technology and informatics
Jan 1, 2017
Chemical-induced disease relations (CID) are crucial in various biomedical tasks. In the CID task of Biocreative V, no classifiers with multiple kernels have been developed. In this study, a multiple kernel learning-boosting (MKLB) method is proposed...
Identifying Patients' Smoking Status from Electronic Dental Records Data.
Studies in health technology and informatics
Jan 1, 2017
Smoking is a significant risk factor for initiation and progression of oral diseases. A patient's current smoking status and tobacco dependency can aid clinical decision making and treatment planning. The free-text nature of this data limits accessib...
A Semi-Automatic Framework to Identify Abnormal States in EHR Narratives.
Studies in health technology and informatics
Jan 1, 2017
Disease ontology, defined as a causal chain of abnormal states, is believed to be a valuable knowledge base in medical information systems. Automatic mapping between electronic health records (EHR) and disease ontology is indispensable for applying d...
"Hybrid Topics" - Facilitating the Interpretation of Topics Through the Addition of MeSH Descriptors to Bags of Words.
Studies in health technology and informatics
Jan 1, 2017
Extracting and understanding information, themes and relationships from large collections of documents is an important task for biomedical researchers. Latent Dirichlet Allocation is an unsupervised topic modeling technique using the bag-of-words ass...
General Symptom Extraction from VA Electronic Medical Notes.
Studies in health technology and informatics
Jan 1, 2017
There is need for cataloging signs and symptoms, but not all are documented in structured data. The text from clinical records are an additional source of signs and symptoms. We describe a Natural Language Processing (NLP) technique to identify sympt...
Translational Morphosyntax: Distribution of Negation in Clinical Records and Biomedical Journal Articles.
Studies in health technology and informatics
Jan 1, 2017
Prior knowledge of the distributional characteristics of linguistic phenomena can be useful for a variety of language processing tasks. This paper describes the distribution of negation in two types of biomedical texts: scientific journal articles an...
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