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 205 for “"Patient data"”.
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Natural language processing on encrypted patient data
… can benefit from machine learning techniques for data analysis, they often do not have the technical expertise nor computational power to do so. Therefore, many organizations would benefit from outsourcing their data analysis. Yet, stringent data privacy policies prevent outsourcing sensitive data …
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Predictive analysis of metabolic and preventive patient data
… hospitals’ and medical offices’ software. These data are generally unconsidered in research. In this work anonymized everyday medical records ascertained in a physician’s office, cov- ering holistic internal medicine in combination with orthomolecular medicine, are analyzed. Due to the lack of …
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A supply chain strategy for patient data management products
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management; and, Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1998.
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Generative digital twins for longitudinal simulation and augmentation of multi-modal patient data
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Individual patient data (IPD) meta-analysis of the London measure of unplanned pregnancy (LMUP) as used in Cape Town, South Africa
… This secondary analysis collected baseline data from 5404 pregnant women seeking antenatal care and enrolled in one of the four included research studies in Cape Town, South Africa that utilized the LMUP to measure pregnancy intention. Data was collected from March 2013 to October 2023 and …
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Platform to Assist Medical Experts in Training, Application, and Control of Machine Learning Models Using Patient Data from a Clinical Information System
In recent years, clinical data scientists achieved major breakthroughs advancing machine learning models for the medical domain, which have great potential assisting medical experts. Machine learning models can be leveraged to assist medical experts in tasks such as analyzing and diagnosing patient …
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Noma (Cancrum Oris) Risk Factors: Feasibility of an Individual Patient Data Meta-Analysis and the Development of a Data Collection Tool for Noma Studies
… yet, even validated baseline epidemiological data on the disease is still lacking. To that end, this study sought to evaluate the feasibility of conducting an individual patient data meta-analysis (IPD-MA) on noma in order to assess the risk factors associated with the disease. To identify …
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Approaches to creating anonymous patient database
… plans and health care clearinghouses collect patient medical data derived from their normal operations every day. These patient data can greatly benefit the health care organization if data mining techniques are applied upon these data sets. However, individual identifiable patient information …
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Bayesian networks for cardiovascular monitoring
… to many types of information when treating patients. Physicians attempt to consider as much of the relevant information as possible, but the astronomically large amounts of data collected make it impossible to consider all available information within a reasonable amount of time. In this …
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Planar visual fusion scintigraphy
… transformation parameters for registering all patient data has been confirmed with preliminary data. Results using patient data confirm registration accuracy to within .95 cm on average and 2.35 cm as the greatest amount of error. Error was approximated for an optimal imaging radial distance …
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Gendered and Racialized Experiences at Central State Hospital, Indianapolis, 1877 - 1910
… 1910” analyzes the treatment of African American patients at the now-defunct Central State Hospital in Indianapolis, Indiana, throughout the Gilded Age and Progressive Era, from the late 1870s through the 1900s. This thesis examines the impact of scientific racism and institutionalized sexism on …
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Free text phrase encoding and information extraction from medical notes
… Computational Physiology is collecting a large database of patient signals and clinical data from critically ill patients in hospital intensive care units (ICUs). The data will be used as a research resource to support the development of an advanced patient monitoring system for ICUs. Important …
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How WEIRD are the South African acute pain guidelines? An analysis of the 2015 South African acute pain guidelines
… research is biased owing to skewed reliance on data from WEIRD (Western, Educated, Industrialized, Rich, Democracies) populations. This research explores health care discrepancy, primarily experienced by non-westernised, non-industrialised, non-rich and non-white people in the context of …
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Propagation of High Intensity Focused Ultrasound through a Patient-specific Ribcage Model
… (HIFU) treatment through ribcage using patient data is described. This is further tested experimentally to derive at various parameters which could be indirectly useful in defining amount of energy and alteration needed in treatment protocols for the upper abdominal pathologies covered …
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Modeling the Arterial System to Improve Ultrasound Measurements of Hemodynamic Parameters
… developing an algorithm to convert ultrasound data into a legitimate ABP waveform requires an extensive amount of patient data. The limitation is that this data is difficult to obtain and impossible to fully control. The solution presented here is to use a flow phantom: a physical, hydraulic …
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Multi-drug association rule mining on graphics processing unit
… to a drug or combination of drugs. Mining patient data allows unknown associations between drugs and symptoms to be discovered. General-purpose GPU computing is the next evolution in processing architectures; utilization of this massively parallel processor towards drug data mining will …
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Fuzzy Decision Tree-based Inference System for Liver Disease Diagnosis
… arises from inaccuracy in the measurement of patient attributes, missing attribute data and limitation in the medical expert’s ability to define cause and effect relationships when there are multiple interrelated variables. Given this situation, a decision support system, which can help …
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