College of Health Sciences
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Effects of Thresholding on Voxel-Wise Correspondence of Breath-Hold and Resting-State Maps of Cerebrovascular Reactivity
(2021-08-24)Functional magnetic resonance imaging for presurgical brain mapping enables neurosurgeons to identify viable tissue near a site of operable pathology which might be at risk of surgery-induced damage. However, focal brain ... -
Understanding patient needs and gaps in radiology reports through online discussion forum analysis
(2021-04-19)Our objective is to investigate patient needs and understand information gaps in radiology reports using patient questions that were posted on online discussion forums. We leveraged online question and answer platforms to ... -
Strategic Differentiation of High-Tech Services in Local Hospital Markets
(2019-11-01)This study assesses organizational and market factors related to high-tech service differentiation in local hospital markets. The sample includes 1704 nonfederal, general acute hospitals in urban counties in the United ... -
Learning for clinical named entity recognition without manual annotations
(2018-10-30)Background: Named entity recognition (NER) systems are commonly built using supervised methods that use machine learning to learn from corpora manually annotated with named entities. However, manually annotating corpora ... -
Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation
(2018-01-01)Background: The use of knowledge models facilitates information retrieval, knowledge base development, and therefore supports new knowledge discovery that ultimately enables decision support applications. Most existing ... -
Exploring Hidden Semantics in Neural Networks with Symbolic Regression
(2022-07-08)Many recent studies focus on developing mechanisms to explain the black-box behaviors of neural networks (NNs). However, little work has been done to extract the potential hidden semantics (mathematical representation) of ... -
Taylor Genetic Programming for Symbolic Regression
(2022-07-08)Genetic programming (GP) is a commonly used approach to solve symbolic regression (SR) problems. Compared with the machine learning or deep learning methods that depend on the pre-defined model and the training dataset for ... -
Proposed Questions to Assess the Extent of Knowledge in Understanding the Radiology Report Language
(2022-09-19)Radiotherapy and diagnostic imaging play a significant role in medical care. The amount of patient participation and communication can be increased by helping patients understand radiology reports. There is insufficient ... -
Towards Converting Clinical Phrases into SNOMED CT Expressions
(2013-01-01)Converting information contained in natural language clinical text into computer-amenable structured representations can automate many clinical applications. As a step towards that goal, we present a method which could ...
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