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 17 of 17 for “"Medical Notes"”.
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Automated Assessment of Psychiatric Patients Using Medical Notes
… this burden by automating the assessment using medical notes. The methodology leverages medical notes already annotated according to the General Assessment of Functioning (GAF) scale to develop a disease severity PDM for schizophrenia, bipolar type I or mixed bipolar and non-psychotic patients. …
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Free text phrase encoding and information extraction from medical notes
… data such as nursing admission and progress notes, and using the data to define and document important clinical events during the patient's ICU stay. Two major text-related annotation issues are addressed in this research. First, the documented clinical events must be described in a …
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Advances in NLP Algorithms on Unstructured Medical Notes Data and Approaches to Handling Class Imbalance Issues
… of the text classification tasks on unstructured medical notes.</p> <p>The first study investigated the model performance of sequence deep learning models that are widely used in NLP tasks such as RNN, GRU, LSTM, Bi-LSTM, as well as CNN and the novel and more advanced attention-based algorithms …
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Integrating LLMs and Causal Inference: Comparing Oral Anticoagulant Effects on Thrombosis Recurrence, Bleeding Risk and Death Using MIMIC-IV Data
… clinically important variables are found only in medical notes, leaving gaps for prediction and confounding adjustment. We analyzed medical discharge notes for acute-thrombosis admissions in MIMIC-IV. Privacy was preserved by generating synthetic medical notes that mirror the content and structure …
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Clinical Reasoning and Causal Attribution in Medical Diagnosis
Forming a medical diagnosis is a complicated reasoning process undertaken by physicians. Although there has been much research focusing on clinical reasoning approaches, there is limited empirical evidence in relation to causal attribution in medical diagnosis. The research on which this thesis is …
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Pharmacist input into patients' self-reporting of adverse drug reactions.
… reported were compared to their documentation in medical notes and for new drugs to reports from other sources. A novel classification system for ADRs was developed to take account of the minimal data available and used to evaluate the potential accuracy of symptom attribution by patients. An …
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Ableism in Education: A Case Study of a Student with Multiple Disabilities
… This framework of historical, political, medical, social, and ableist approaches to disability sets the stage for the study which relies on extensive open-ended interviews, a document review, audio recording of an Individual Education Program (IEP) meeting, and a researcher journal to …
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Evaluation of the pharmacist role in discharge from hospital
… to final pharmacy check) to authorised TTOs, medical notes and prescription chart. Discrepancies were classified according to the CHUMS classification procedure. Logistic regression was used to identify predictors of discrepancies. Two hundred and fifteen TTOs were included in the audit …
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Natural Language Processing as a Tool in Supporting Clinical Decision-Making
… can effectively discern the relationships within medical notes, tying symptoms and other elements to an associated medical speciality.<br/><br/>There have been many studies in the clinical domain using natural language processing that have seen successes with document classification. However, the …
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Improving the dietary management of orofacial granulomatosis
… dietary management of patients with OFG.<br/>A medical notes review (n=207) outlined the clinical presentation and provided insight into differing phenotypes for patients with OFG. A subsequent study developed and implemented a novel diet low in phenolic acids improving symptoms in 5/10 …
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Conditional Neural Networks for Speech and Language Processing
… in both general natural language modeling and medical notes prediction tasks. The results indicate that by introducing conditional branches in the conventional network structures, the latent features can be globally and locally learned.
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Risk assessment and mortality prediction in patients with venous thromboembolism using big data and machine learning.
… electronic health records, open-source big- data medical databases and machine learning, predictive modelling could be utilized and become a powerful tool to guide clinical decision. The aim of the study was to explore the use and performance of various machine learning algorithms (ML) in order to …
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Antibiotic use and the effect of prescribing guidelines in care of the elderly.
… sensitivities and produced in collaboration with medical practitioners. They were introduced using various promotional strategies, including seminars, posters, stickers and feedback of audit data. After the introduction of the guidelines there was no significant difference in the mean cost of …
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QUALITY HEALTHCARE IN NHS HOSPITALS: THE IMPACT OF PRESCRIBING SYSTEMS
… analysis of the prescribing system and medical records, taken from patients cared for by the MDTs involved in phase two. Information extracted included any documentation made of a newly initiated medication, as well as the design of the prescribing system. The clarity and accuracy of …
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Cancer treatment pathways: AML a detailed costing study example
… and duration) were extracted from patients’ medical notes on a regular basis by well trained research nurses. Unit costs were determined from various sources, including the British National Formulary and the unit costs of health and social care from the Personal Social Services Research Unit …
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NOVEL DATA MINING ALGORITHMS FOR ANALYSIS OF ELECTRONIC HEALTH RECORDS
Medical health providers use electronic health records (EHRs) to store information about patient treatment to support patient care management and securely share health information among healthcare organizations. EHRs have also been used in healthcare research in problems such as patient …
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A retrospective study exploring clinical, biological and behavioural factors contributing to changes in body weight following early breast cancer diagnosis.
… smoking status and age were collected from medical notes. Genetic profile (FTO, Mc4R), body fat and fat free mass, waist circumference and fasting glucose and insulin levels were measured once, at study entry only. Associations were examined using t-tests, correlations, regression and …