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 20 of 95 for “"Clinical Decision Support"”.
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Query Expansion Study for Clinical Decision Support
… precision of the selected dataset from the TREC clinical decision support track are low. The overriding objective of this thesis is to improve the performance of information retrieval techniques applied to biomedical text documents. We have focused on improving recall and precision among the top …
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An ontological and epistemological paradigm for clinical decision support
… the central hypothesis that the paradigm for clinical decision support needs to shift from a technology centred paradigm to a coherent ontological-epistemological paradigm. This was achieved by formalising a coherent ontological and epistemological framework, and then applying it practically …
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Using EMR transactional data for personalize clinical decision support
… information could be added to traditional clinical decision support tools to arrive at personalized recommendations based on empiric evidence. The aim of this work is to use the collective, de facto, clinical experience to augment clinical guidelines thereby providing physicians with …
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The Use of Clinical Decision Support to Improve Nursing Practice
… positive impact on patient outcomes persists. Clinical decision support (CDS) is an informatics tool that is highly customizable to promote patient improvement activities. Despite its high potential, studies have had mixed results regarding the impact of CDS and it has not been widely studied …
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Data fusion techniques for biomedical informatics and clinical decision support
… be applied at the raw-data, feature-based, and decision-based levels. Data fusion applications of different sorts have been built up in areas such as statistics, computer vision and other machine learning aspects. It has been employed in a variety of realistic scenarios such as medical …
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A semantics-first approach to safe guidelines-based clinical decision support
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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The Clinical Decision Support Liaison: A Novel Means for Support in Acute Care
… professionals seek to provide medical care that supports the well-being of patients beyond physiology alone. However, in the acute hospital setting there exist numerous barriers that make this goal difficult. Physicians and staff are faced with ethical dilemmas daily while encountering patients …
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Causal Inference and Evidence-Grounded Language Models for Trustworthy Personalized Clinical Decision Support
Clinical decision support systems (CDSS) are evolving from passive predictive tools into active collaborators in clinical reasoning. However, most machine learning approaches remain limited to risk prediction, lacking the causal reasoning, patient-specific personalization, and evidence-verifiable …
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Deep learning survival analysis for clinical decision support in deceased donor kidney transplantation
In deceased donor kidney transplantation, the decision to accept or decline an offer relies on a clinicians intuition and ability to digest complex information in order to maximize patient survival. Risks affecting patient survival post-KT must be balanced with the risks of remaining on the …
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Reliable and Trustworthy AI for Evidence-based Clinical Decision Support in Cancer Care
… of cutting-edge AI methods with real-world clinical data has moved from being a novelty to a necessity in oncology. However, the deployment of AI faces challenges, including the complexity of reliably modeling longitudinal Electronic Health Records (EHR) characterized by missing data and …
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Implementing Real-Time Computerized Clinical Decision Support During Trauma Resuscitations: Lessons Learned From Simulation.
<p>Through the combination of clinical expertise, research, and patient values evidence-based practice (EBP) is becoming the new standard of patient care. Despite the main benefits of EBP medical providers are hesitant to implement based on a multitude of barriers. In order to increase adoption of …
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AUTOMATED MIDLINE SHIFT DETECTION ON BRAIN CT IMAGES FOR COMPUTER-AIDED CLINICAL DECISION SUPPORT
… the important applications of midline shift in clinical medical decision making is to estimate the intracranial pressure (ICP). ICP monitoring is a standard procedure in the care of severe traumatic brain injury (TBI) patients. An automated ICP level prediction model based on machine learning …
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Utilizing Clinical Decision Support within the Electronic Health Record to Screen for Palliative Care
… referral are needed. Integration of electronic clinical decision support and utilization of triggers to identify individuals who may benefit from palliative care, using an algorithm embedded with the electronic health record (EHR) may facilitate this identification, but lacks empirical …
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A perioperative medicine clinical decision support system: foundation, design, development, evaluation, and the standards
Abstract 1:Introduction and Background: Decisions regarding medication management during the perioperative period are often made based on clinical anecdotes and vary by provider. Clinical decision support (CDS) tools aid physicians with decision making tasks at the point of care. We have developed …
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Clinical Decision Support System with Adaptive Software Framework for Chronic Lymphocytic Leukaemia Cell Classification
This thesis presents a new clinical decision support system (CDSS), which operates within an adaptive software framework and a tailored wrapper design pattern for chronic lymphocytic leukaemia (CLL) cell classification. The system goes through a sequence of steps while working with the lymphocyte …
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Evaluation of Biases That Challenge the Implementation and Use of Machine Learning Clinical Decision Support Tools
Clinical machine learning (ML) tools hold promise to improve patient care, though their effective implementation requires that several barriers be overcome. This thesis includes three projects designed to further understand these barriers and explore potential solutions. The first study …
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