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Full-Text Articles in Library and Information Science
Examining Publicly Accessible Data Resources And Applications In Healthcare, Sarah Siddiqui
Examining Publicly Accessible Data Resources And Applications In Healthcare, Sarah Siddiqui
Legacy Theses & Dissertations (2009 - 2024)
This thesis is a study of popular data resources in healthcare and their applications toward health information system design and development. The first section reviews the way data is collected with a list of websites where health datasets can be obtained; along with a summary of the recognized vocabulary standards that make it easier to understand and share this data. The next section discusses ways of data categorization for better analysis, recognizing that a significant proportion of health data is unstructured. The Recent Findings section highlights the changes in the data over the years and the ways in which their …
Time Will Tell : Temporal Reasoning In Clinical Narratives And Beyond, Weiyi Sun
Time Will Tell : Temporal Reasoning In Clinical Narratives And Beyond, Weiyi Sun
Legacy Theses & Dissertations (2009 - 2024)
Temporal reasoning in natural language refers to the extraction and understanding of time-related information conveyed in free text. A clinical narrative temporal reasoning component can enable a spectrum of medical natural language processing (NLP) applications that directly improve patient care documentation efficiency, accessibility and accountability. This dissertation contributes in three subtasks under temporal reasoning: temporal annotation, temporal expression extraction and temporal relation inferences. The temporal annotation work described in the dissertation produced one of the first publicly available clinical narratives. We published one of the first sets of temporal
Automated Classification Of The Narrative Of Medical Reports Using Natural Language Processing, Ira J. Goldstein
Automated Classification Of The Narrative Of Medical Reports Using Natural Language Processing, Ira J. Goldstein
Legacy Theses & Dissertations (2009 - 2024)
In this dissertation we present three topics critical to the document level classification of the narrative in medical reports: the use of preferred terminology in light of the presence of synonymous terms, the less than optimal performance of classification systems when presented with a non-uniform distribution of classes, and the problems associated with scarcity of labeled data when presented with an imbalance of classes in the data sets.