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 48 for “"Clinical notes"”.
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Hospital readmission prediction with long clinical notes
… disease. One type of data captured by EHRs are clinical notes, which are unstructured data written in natural language. We can leverage Natural Language Processing (NLP) to build machine learning (ML) models to gain understanding from clinical notes that will enable us to predict clinical …
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De-identification of free-text clinical notes
Clinical notes contain rich information that is useful in medical research and investigation. However, clinical documents often contain explicit personal information that is protected by federal laws. Researchers are required to remove these personal identifiers before publicly release the notes, a …
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Modeling Similarities Among Autism Spectrum Patients Using Word Embeddings on Clinical Notes
… to create neural word embedding vectors on the clinical notes presented and K-means clustering to group the patients based on similarities in the notes. The clusters will give us greater insight into the examinations done by clinicians in ABA therapy, the challenging behaviors presented, and the …
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Improving Patient Access and Comprehension of Clinical Notes: Leveraging Large Language Models to Enhance Readability and Understanding
Patient access to clinical notes has demonstrated numerous benefits, including an increased sense of control over their condition, enhanced engagement, improved medication adherence, and greater clinician accountability. However, the presence of medical jargon, abbreviations, and complex medical …
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Extracting Information on Dietary Supplements from Clinical Notes in Electronic Health Record Systems Through Natural Language Processing Techniques
… bias. Additionally, there remains a paucity of clinical trials conducted to evaluate the pharmaceutical mechanisms and the safety of DS. The limitations mentioned above have created a critical need to use alternative data sources for active pharmacovigilance on DS safety, which can be addressed …
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Inferring insulin regimen from clinical notes : using natural language processing techniques to extract data from free text records
… to patients, which is hidden in unstructured clinical notes. The reason that is a problem is that the individual clinician is unable to draw on the wisdom that might exist in collective experience. Additionally, having access to a patient's historical insulin regimen can help identify patient …
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A study of progressive muscular atrophy: with special reference to the idiopathic form; and clinical notes of two cases of the latter variety
… at the sane time, present differences in their clinical features.
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Applying Language Models To Patient Health Records: Acronym Expansion, Long Document Classification and Explainable Predictions
… ever-growing volume of patient data. While EHR clinical notes offer rich, detailed insights into patient conditions, treatments and outcomes, extracting meaningful information from these notes remains a significant challenge due to their unstructured nature, widespread occurrence of acronyms and …
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Clinical Text De-identification Using Large Language Models: Insights from Organ Procurement Data
… a novel approach to the de-identification of clinical notes from Organ Procurement Organization (OPO) records, leveraging advanced natural language processing (NLP) methodologies. Specifically, we employ in-context learning using large language models (LLMs) to effectively identify and remove …
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On Dynamic Treatment Regimes: Collaborative Search and LLM-Driven Decision Trees
… extracting treatment decisions from unstructured clinical notes. The main contribution is the Clinical Decision Tree (CDT) which uses large language models (LLMs) to extract key decisions in chronic disease treatment. This addresses the main pain points in dynamic treatment regimes of low …
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Relating Racial Disparities to Financial Concerns and Shared Decision Making in Opioid Prescriptions
In this thesis, the author uses clinical notes and works with three widely-accessible healthcare databases to examine the relationship between race and opioid prescriptions in hospitals. While other researchers have previously provided evidence that Black patients receive, ceteris paribus, fewer …
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Natural language processing for precision clinical diagnostics and treatment
… application of natural language processing to clinical diagnostics and treatment within the palliative care and serious illness field. I explore a variety of natural language processing methods, including deep learning, rule-based, and classic machine learning, and applied to the identication …
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emrQA: A large corpus for question answering on electronic medical records
… by leveraging existing expert annotations on clinical notes for various NLP tasks from the community shared i2b2 datasets. The resulting corpus (emrQA) has 1 million question-logical form and 400,000+ question-answer evidence pairs. We characterize the dataset and explore its learning …
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Towards Scalable Structured Data from Clinical Text
… pertinent variables are trapped in unstructured clinical note text. Automated extraction is difficult since clinical notes are written in their own jargon-heavy dialect, patient histories can contain hundreds of notes, and there is often minimal labeled data. In this thesis, I tackle these …
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A perioperative medicine clinical decision support system: foundation, design, development, evaluation, and the standards
… 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 a set of perioperative medication management recommendation decision heuristics based on …
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Data driven health system
… observations and reports varying from science to clinical notes and reimbursement claims that emerge from practice rather than design. What is health data? In this thesis we try to answer that question by looking at the system of health almost exclusively as a system that generates, transforms, …
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Structural Robustness of Transformer Models for Clinical Text Summarization on MIMIC-III
… models are increasingly used to summarize clinical documents, yet their performance is evaluated exclusively on well-formatted text. In practice, clinical notes undergo structural degradation through hospital mergers, EHR migrations, and copy-paste practices, conditions that no prior study …
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