AIMC Topic: Information Storage and Retrieval
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Improving the 'Fitness for Purpose' of Common Data Models through Realism Based Ontology.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Common data models are designed and built based on requirements that are aimed towards fitness for purpose. But when common data models are used as lenses through which reality is observed from the perspective according to which they are built, then ...
Healthcare Text Classification System and its Performance Evaluation: A Source of Better Intelligence by Characterizing Healthcare Text.
Journal of medical systems
Apr 13, 2018
A machine learning (ML)-based text classification system has several classifiers. The performance evaluation (PE) of the ML system is typically driven by the training data size and the partition protocols used. Such systems lead to low accuracy becau...
ProFUSO: Business process and ontology-based framework to develop ubiquitous computing support systems for chronic patients' management.
Journal of biomedical informatics
Apr 5, 2018
New advances in telemedicine, ubiquitous computing, and artificial intelligence have supported the emergence of more advanced applications and support systems for chronic patients. This trend addresses the important problem of chronic illnesses, high...
A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts.
BMC medical informatics and decision making
Mar 22, 2018
BACKGROUND: Temporal expression extraction and normalization is a fundamental and essential step in clinical text processing and analyzing. Though a variety of commonly used NLP tools are available for medical temporal information extraction, few wor...
Development of an information retrieval tool for biomedical patents.
Computer methods and programs in biomedicine
Mar 14, 2018
BACKGROUND AND OBJECTIVE: The volume of biomedical literature has been increasing in the last years. Patent documents have also followed this trend, being important sources of biomedical knowledge, technical details and curated data, which are put to...
Deep Spatial-Temporal Joint Feature Representation for Video Object Detection.
Sensors (Basel, Switzerland)
Mar 4, 2018
With the development of deep neural networks, many object detection frameworks have shown great success in the fields of smart surveillance, self-driving cars, and facial recognition. However, the data sources are usually videos, and the object detec...
Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide.
Research synthesis methods
Feb 7, 2018
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this w...
Databases, Bibliographic
Subject Headings
Evidence-Based Medicine
Search Engine
Review Literature as Topic
Information Storage and Retrieval
Reproducibility of Results
Sensitivity and Specificity
ROC Curve
Support Vector Machine
Randomized Controlled Trials as Topic
Registries
Humans
Machine Learning
Algorithms
A novel biomedical image indexing and retrieval system via deep preference learning.
Computer methods and programs in biomedicine
Feb 6, 2018
BACKGROUND AND OBJECTIVES: The traditional biomedical image retrieval methods as well as content-based image retrieval (CBIR) methods originally designed for non-biomedical images either only consider using pixel and low-level features to describe an...
Content Based Image Retrieval by Using Color Descriptor and Discrete Wavelet Transform.
Journal of medical systems
Jan 25, 2018
Due to recent development in technology, the complexity of multimedia is significantly increased and the retrieval of similar multimedia content is a open research problem. Content-Based Image Retrieval (CBIR) is a process that provides a framework f...
Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology.
PloS one
Jan 19, 2018
PURPOSE: Leveraging Electronic Health Records (EHR) and Oncology Information Systems (OIS) has great potential to generate hypotheses for cancer treatment, since they directly provide medical data on a large scale. In order to gather a significant am...
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