Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Clinical Narratives"”.
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Information extraction for clinical narratives
… valuable information which can be used in Clinical Decision Support (CDS). So, Information Extraction (IE) from EHRs is a very promising research area. In this thesis, I focus on two tasks namely Mention Detection and Coreference Resolution. A lot of domain knowledge is available regarding …
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Temporal Reasoning in Clinical Narratives: From Information Extraction to Early Disease Detection
… that can reason over complex, longitudinal clinical narratives. This thesis presents a unified framework for temporally grounded patient modeling that integrates structured event representations, fine-grained temporal reasoning, and scalable predictive architectures. Initial experiments show …
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A modular, open-source information extraction framework for identifying clinical concepts and processes of care in clinical narratives
… is presented of the knowledge models required by clinical informa- tion systems that provide decision support for longitudinal processes of care. Qualitative research techniques and thematic analysis are novelly applied to a systematic review of the literature on the challenges in implementing …
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Towards unified biomedical modeling with subgraph mining and factorization algorithms
… subgraph mining and factorization algorithms to clinical narrative text, ICU physiologic time series and computational genomics. These algorithms aims to build clinical models that improve both prediction accuracy and interpretability, by exploring relational information in different biomedical …
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Multimodal AI for Hospital Readmission Prediction Among Older Adults
… hospitalisation to enhance risk assessment and clinical decision-making. By integrating multiple data sources, this approach improves predictive accuracy and provides deeper insights into the key factors driving readmissions, making AI models more informed and interpretable by using the most …