AIMC Topic: Medical Informatics Applications
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A Two-Stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 13, 2017
Extracting biomedical events from biomedical literature plays an important role in the field of biomedical text mining, and the trigger detection is a key step in biomedical event extraction. We propose a two-stage method for trigger detection, which...
Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy.
Stroke
Apr 6, 2017
BACKGROUND AND PURPOSE: This study evaluated the use of an artificial intelligence platform on mobile devices in measuring and increasing medication adherence in stroke patients on anticoagulation therapy. The introduction of direct oral anticoagulan...
A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare.
IEEE journal of biomedical and health informatics
Mar 16, 2017
Health analysis often involves prediction of multiple outcomes of mixed type. The existing work is restrictive to either a limited number or specific outcome types. We propose a framework for mixed-type multioutcome prediction. Our proposed framework...
Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.
BMJ open
Jan 17, 2017
OBJECTIVES: We sought to use natural language processing to develop a suite of language models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate the secondary use of mental healthcare data in research.
Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.
Yearbook of medical informatics
Nov 10, 2016
OBJECTIVES: This paper reviews work over the past two years in Natural Language Processing (NLP) applied to clinical and consumer-generated texts.
Artificial intelligence in medicine: humans need not apply?
The New Zealand medical journal
May 6, 2016
Artificial intelligence (AI) is a rapidly growing field with a wide range of applications. Driven by economic constraints and the potential to reduce human error, we believe that over the coming years AI will perform a significant amount of the diagn...
Translational informatics approach for identifying the functional molecular communicators linking coronary artery disease, infection and inflammation.
Molecular medicine reports
Mar 18, 2016
Translational informatics approaches are required for the integration of diverse and accumulating data to enable the administration of effective translational medicine specifically in complex diseases such as coronary artery disease (CAD). In the cur...
Semantic representation of reported measurements in radiology.
BMC medical informatics and decision making
Jan 22, 2016
BACKGROUND: In radiology, a vast amount of diverse data is generated, and unstructured reporting is standard. Hence, much useful information is trapped in free-text form, and often lost in translation and transmission. One relevant source of free-tex...
Spark, an application based on Serendipitous Knowledge Discovery.
Journal of biomedical informatics
Dec 28, 2015
Findings from information-seeking behavior research can inform application development. In this report we provide a system description of Spark, an application based on findings from Serendipitous Knowledge Discovery studies and data structures known...
DASACT: A decision aiding software for axiomatic consensus theory.
Mathematical biosciences
Nov 24, 2015
There have been various attempts, solutions, and approaches towards constructing an appropriate consensus tree based on a given set of phylogenetic trees. However, for practitioners, it is not always clear, for a given data set, which of these would ...
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