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 21 for “"De-identification"”.
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De-identification of ICU patient records
… Act requires that certain types potential identifiers be removed from the data before it can be shared freely. The process of removing the identifiers is called de-identification. The purpose of this project is to create a de-identification filter for the MIMIC database, a system that …
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De-identification of free-text clinical notes
… personal information that is protected by federal laws. Researchers are required to remove these personal identifiers before publicly release the notes, a process known as de-identification. In recent years, the healthcare community has initiated several competitions to expedite the …
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Automated de-identification of free-text medical records
This paper presents a de-identification study at the Harvard-MIT Division of Health Science and Technology (HST) to automatically de-identify confidential patient information from text medical records used in intensive care units (ICUs). Patient records are a vital resource in medical research. …
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Computer-assisted de-identification of free-text nursing notes
… patients' privacy by removing personally identifiable information from medical records before sharing the data with other researchers. Different computer-assisted methods are evaluated for removing and replacing protected health information (PHI) from free-text nursing notes collected in …
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Modelling of a Privacy Language and Efficient Policy-based De-identification
… policies. Although privacy policies are strictly defined by the General Data Protection Regulation (GDPR), no systematic mechanism is in place to enforce them. Especially if data is merged from several sources into a data-set with different privacy policies associated, the management and …
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HIPAAway: developing software for de-identification and exploring bias in name detection
De-identification, the process of removing identifiers, is a crucial step in the preparation of clinical data for use in biomedical research. Advances in natural language processing have increased interest in developing an accurate and adaptable automatic de-identification system for clinical text. …
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Assessing models for de-identification of Electronic Discharge Summary Using Machine Learning tools
Background: De-identification is a technique that eliminates identifying information from Clinical Records in order to protect individual privacy. This procedure decreases the chance of personal information being collected, processed, distributed, and published from being used to identify the …
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Clinical Text De-identification Using Large Language Models: Insights from Organ Procurement Data
This thesis presents 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 …
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Improving the accuracy of statistics used in de-identification and model validation (via the concordance statistic) pertaining to time-to-event data
… disease screening results, inform treatment decisions, and identify at-risk patient groups (ie, sex, race, gene expressions, etc.). This thesis tackles three statistical issues pertaining to time-to-event data. The first issue was incurred from an Institute for Clinical and Evaluative …
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Information extraction with neural networks
Electronic health records (EHRs) have been widely adopted, and are a gold mine for clinical research. However, EHRs, especially their text components, remain largely unexplored due to the fact that they must be de-identified prior to any medical investigation. Existing systems for de-identification …
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Was the patient cured? : understanding semantic categories and their relationship in patient records
In this thesis, we detail an approach to extracting key information in medical discharge summaries. Starting with a narrative patient report, we first identify and remove information that compromises privacy (de-identification); next we recognize words and phrases in the text belonging to semantic …
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Education Policy Factors Contributing to Special Education Identification
… around special education is the topic of identification and de-identification as having a disability that impacts one’s education. Variation in special education enrollment across geographic locations, racial groups, and schooling sectors causes researchers to question the process and …
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How members of high identity demand organizations perform identity work relating to organization membership
This study asks: how do members of high identity demand organizations perform identity work relating to their organization membership? Using social identity theory, Kreiner, Hollensbe and Sheep (2006a) defined high identity demand vocations as imposing significant forces on members towards …
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Transmissions of Hashed Personally Identifiable Information to Third Parties Across Websites
… form, often claiming that hash functions provide privacy protection. Previous literature has shown this to be false by successfully re-identifying hashes of common personally identifiable information (PII). Despite this, websites continue to share hashed PII while making claims that understate …
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Generative Modeling with Guarantees
Language models have become ubiquitous in natural language processing, leveraging large amounts of unlabeled data and fine-tuning for downstream tasks. However, concerns have been raised regarding the accuracy and trustworthiness of the text generated by these models. In parallel, differential …
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Synthetic Electronic Medical Record Generation using Generative Adversarial Networks
… of the patient, which should help doctors understand a patient's condition quickly. In recent years, Deep Learning models have proved their value and have become state-of-the-art in computer vision, natural language processing, speech and other areas. The private nature of EHR data has …
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Privacy preserving data anonymisation: an experimental examination of customer data for POPI compliance in South Africa
… the need to maintain privacy is critical in order to avoid the release of sensitive information. This has been shown to be a constant challenge, namely the trade-off between preserving privacy and data utility [1]. This study performs an evaluation of privacy models together with their relevant …
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Computational privacy : towards privacy-conscientious uses of metadata
… power to fundamentally transform the health and development of societies. Metadata about our whereabouts, social lives, preferences, and finances can be used for good but can also be abused. In this thesis, I show that the richness of today's datasets have rendered traditional data protections …
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The Ethical Challenge of Conflicts of Interest in Healthcare
… objective of upholding a patients’ interest collide with the physicians’ secondary goals and is mostly but not always related to monetary gain.</p> <p>To avoid conflict of interest, it is advisable for medical practitioners to weigh the pros and cons that their actions would inflict. Medical …
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Espacios alternativos y nomadismo en tres poetas salvadoreñas de la guerra: Leyla Quintana, Kenny Rodríguez y Eva Ortiz
… It explores, from the perspective of Nomadism developed by Rosi Braidotti, the resignification of the feminine subjectivity, as well as the construction of new figurations in order to articulate a counter discourse that challenges the official hegemonic and heteropatriarcal narrative. In the …
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