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 91 for “"Free-text"”.
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Extracting fields from free-text
… functions for named-entity extraction within free text. FEL models the content structure of the specified named-entities rather than relying on brittle, context-specific separator logic. Users specify the names of the fields they wish to extract, which determine the number of states for an …
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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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Automated de-identification of free-text medical records
… confidential patient information from text medical records used in intensive care units (ICUs). Patient records are a vital resource in medical research. Before such records can be made available for research studies, protected health information (PHI) must be thoroughly scrubbed …
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Computer-assisted de-identification of free-text nursing notes
… protected health information (PHI) from free-text nursing notes collected in the hospital intensive care unit. A semi-automated method was developed to allow clinicians to highlight PHI on the screen of a tablet PC and to compare and combine the selections of different experts reading the …
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Free text phrase encoding and information extraction from medical notes
… extracting important clinical information from textual patient 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 …
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Identification of clinical characteristics of large patient cohorts through analysis of free text physician notes
… clinical characteristics through analysis of the text of physician notes in the electronic medical record. Methods PACT algorithm is based on sentence-level semantic analysis. The major steps involve identification of word tags (e.g. name of the disease or medications exclusively used to treat the …
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Using free-text searching and ICD-10 codes to identify prospective patients with drug-induced liver injury
… University of Michigan. It was hypothesized that free-text searching using key words would be superior to the use of ICD-10 codes. Two million patient encounters within a six month window were searched using ICD-10 codes related to toxic liver disease. A total of 489 patients were identified and …
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Inferring insulin regimen from clinical notes : using natural language processing techniques to extract data from free text records
… performance. We also explore models using contextual word representations from the domain specific pretrained language models, character level embeddings and auxillary features constructed from external knowledge sources and analyze their performance. We find that our final Multi Layer …
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Biomedical data retrieval utilizing textual data in a gene expression database by Richard Lu, MD.
… and clinical data that is available. Descriptive textual information deposited with gene expression data in the Gene Expression Omnibus (GEO) is an underutilized resource because the textual information is unstructured and difficult to query. Rendering this information in a structured format …
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INCORPORATING EMR AND GENOMIC DATA USING NLP AND MACHINE LEARNING TO REFINE CANCER TREATMENT
… numerical data, majority of EMR are unstructured free text and not easy to be processed by computers. In this study, we explored how natural language processing (NLP) and machine learning can help to evaluate their impact on the clinical practice using free-text progress reports of cancer …
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Modeling and predicting trustworthiness of online textual information
… the challenges in modeling trustworthiness of free-text claims. In this dissertation, I present the need for research on trustworthiness of online information and argue for going beyond structured, extraction-centric approaches to unstructured, textual evidence-driven trust modeling. The …
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Application and Evaluation of Unified Medical Language System Resources to Facilitate Patient Information Acquisition through Enhanced Vocabulary Coverage
… studies in this research were conducted using free-text with two objectives in mind, 1) develop and evaluate automated techniques for identifying canine physical examination terms contained in the Systematized Nomenclature of Medicine and Veterinary Medicine (SNOMED), version 3.3 and 2) develop …
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TagMeds : a tool for populating eXtensible Markup Language documents with UMLS concept unique identifiers of current medications
TagMeds is a system that recognizes and marks textual descriptions of a patient's current medications in the unstructured textual content of consultations letters. Medications are found based on their names and on linguistic patterns describing their dose, form of administration, etc. The UMLS is …
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Collection-Level Subject Access in Aggregations of Digital Collections: Metadata Application and Use
… properties/characteristics encoded in the free-text Description field, including types and genres of objects in a digital collection, as well as topical, geographic and temporal coverage are the most consistently represented collection characteristics in free-text Description fields. …
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Ontology-based document representation for biomedical information retrieval
… growth of biological information, in the form of free-text, has led to a lack of standard in the naming of biological entities. As a result, different genes are referred to with the same name, or acronym, and different names refer to tlze same gene. The ambiguity of free-text is problematic, as …
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Enabling Proactive Quality in Commercial Airplanes using Natural Language Processing
… often numerical, sources of data; unstructured, free-text representations of quality data are less frequently employed despite having high informational value, and often require additional human effort to prepare their contents for use. An ability to extract and proactively employ this …
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An exploratory study using the predicate-argument structure to develop methodology for measuring semantic similarity of radiology sentences
… information produced in the form of electronic free text in healthcare is increasing to levels incapable of being processed by humans for advancement of his/her professional practice. Information extraction (IE) is a sub-field of natural language processing with the goal of data reduction of …
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Improving clinical decision making with natural language processing and machine learning
… the procedure. We combined NLP features from free-text physician notes with structured data to train a supervised classifier to predict CRT outcomes. While our results gave a slight improvement over the current baseline, we were not able to predict CRT outcome with both high precision and high …
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ML-driven clinical documentation
… to time-intensive note-writing by authoring free-text notes overloaded with jargon and acronyms. Clinical notes are therefore difficult to parse and largely unstructured. This negatively impacts the ability of EHR systems to convey information between different clinicians and institutions, to …
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