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Relevant bibliographies by topics / Clinical NLP / Dissertations / Theses

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Dissertations / Theses on the topic 'Clinical NLP'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Osborne, John D., Matthew B. Neu, Maria I. Danila, Thamar Solorio, and Steven J. Bethard. "CUILESS2016: a clinical corpus applying compositional normalization of text mentions." BIOMED CENTRAL LTD, 2018. http://hdl.handle.net/10150/626563.

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Background: Traditionally text mention normalization corpora have normalized concepts to single ontology identifiers ("pre-coordinated concepts"). Less frequently, normalization corpora have used concepts with multiple identifiers ("post-coordinated concepts") but the additional identifiers have been restricted to a defined set of relationships to the core concept. This approach limits the ability of the normalization process to express semantic meaning. We generated a freely available corpus using post-coordinated concepts without a defined set of relationships that we term "compositional con

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2

Raghavan, Preethi. "MEDICAL EVENT TIMELINE GENERATION FROM CLINICAL NARRATIVES." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397651496.

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3

Khizra, Shufa. "Using Natural Language Processing and Machine Learning for Analyzing Clinical Notes in Sickle Cell Disease Patients." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright154759374321405.

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4

Conocimiento, Dirección de Gestión del. "Nutrition in Clinical Practice (NCP)." Wiley, 2004. http://hdl.handle.net/10757/655367.

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5

Dalloux, Clément. "Fouille de texte et extraction d'informations dans les données cliniques." Thesis, Rennes 1, 2020. http://www.theses.fr/2020REN1S050.

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Avec la mise en place d'entrepôts de données cliniques, de plus en plus de données de santé sont disponibles pour la recherche. Si une partie importante de ces données existe sous forme structurée, une grande partie des informations contenues dans les dossiers patients informatisés est disponible sous la forme de texte libre qui peut être exploité pour de nombreuses tâches. Dans ce manuscrit, deux tâches sont explorées~: la classification multi-étiquette de textes cliniques et la détection de la négation et de l'incertitude. La première est étudiée en coopération avec le centre hospitalier uni

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6

Conocimiento, Dirección de Gestión del. "Guía de acceso para Nutrition in Clinical Practice (NCP)." Wiley, 2021. http://hdl.handle.net/10757/655367.

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7

Alimohammadi, Mohammad. "Molecular Targets in Autoimmune Polyendocrine Syndrome Type1 and Their Clinical Implications." Doctoral thesis, Uppsala universitet, Institutionen för medicinska vetenskaper, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9549.

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Autoimmune diseases occur when the immune system attacks and destroys healthy body tissue. Autoimmunity is known to cause a wide range of disorders, and is suspected to be responsible for many more. Most autoimmune disorders are chronic and cause severe morbidity for the patients, and are also costly for society. A majority of these disorders are today considered as complex diseases with incompletely known etiology. Hence, model systems for studying the pathogenesis of autoimmunity are important to unravel its causes. Autoimmune Polyendocrine Syndrome Type 1 (APS-1), (OMIM 240300), is a rare a

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8

Kinghorn, Varitha. "Developing and evaluating online education for dietitians to enhance learning of the Nutrition Care Process (NCP)." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2018. https://ro.ecu.edu.au/theses/2119.

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BACKGROUND: A consistent care process, clear and concise medical documentation, and standardised nutrition terminology is beneficial for dietetic practice. The Nutrition Care Process (NCP), a contemporary framework to promote critical thinking and systematically address nutrition problems, and its terminology (NCPT, formerly known as IDNT) was developed to suit these purposes. However, this framework has not yet been adopted globally. The basis for this lack of adoption relates to difficulties in traditional face-to-face implementation, including a lack of local NCP experts, time constraints,

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9

Wallace, Rick L. "Connecting Underserved Hospitals and Clinics to Library Service using an NLM Information Access Grant." Digital Commons @ East Tennessee State University, 2002. https://dc.etsu.edu/etsu-works/8802.

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10

KOH, THONG CHUAN EUGENE. "Down regulation of NLK by MIR-221/222 modulates chemosensitivity to glucocorticoids in pediatric normal karyotype b-cell precursor acute lymphoblastic leukemia. La downregolazione di nemo-like kinase indotta dai MIR-221/222 modula chemiosensibilità ai glucocorticoidi nella pediatrico b-cell precursor leucemia linfattica acuta." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2012. http://hdl.handle.net/10281/30498.

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Normal karyotype pediatric B-cell precursor ALL patients are heterogeneous with respect to chemotherapy response, relapse rates and prognosis and the reason is unknown. These patients are treated with a standard protocol, and stratified using MRD methodology that shows they have variable responses and predicted outcomes. This study aims to determine the reasons behind such heterogeneity. This study shows that through miRNA profiling, miR-221/222 are differentially expressed in normal karyotype patients and are up regulated in Poor Responder patients. Through proliferation, apoptosis, viability

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11

Santos, Adriana da Silva. "Caracterização clínica, patológica e molecular da infecção pelo vírus da diarréia viral bovina tipo 2 não citopático em propriedade do Rio Grande do Sul." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/31760.

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O vírus da diarreia viral bovina (BVDV) é responsável por diferentes síndromes que afetam principalmente bovinos em todo o mundo, causando grandes perdas econômicas. A principal medida de controle desta infecção é a detecção e retirada dos animais persistentemente infectados (PI) do rebanho. O presente trabalho analisou a infecção persistente por este vírus em um rebanho bovino de gado de corte, vacinado com vacina inativada contra BVDV tipo 1 e localizado no Município de Viamão, Rio Grande do Sul, de novembro de 2007 a maio de 2009. Para a triagem de animais PI, amostras de soro, sangue com E

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12

Sedghi, Elham. "A novel stroke prediction model based on clinical natural language processing (NLP) and data mining methods." Thesis, 2017. http://hdl.handle.net/1828/7879.

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Early detection and treatment of stroke can save lives. Before any procedure is planned, the patient is traditionally subjected to a brain scan such as Magnetic Resonance Imaging (MRI) in order to make sure he/she receives a safe treatment. Before any imaging is performed, the patient is checked into Emergency Room (ER) and clinicians from the Stroke Rapid Assessment Unit (SRAU) perform an evaluation of the patient's signs and symptoms. The question we address in this thesis is: Can Data Mining (DM) algorithms be employed to reliably predict the occurrence of stroke in a patient based on the

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13

Kaur, Rajvir. "A comparative analysis of selected set of natural language processing (NLP) and machine learning (ML) algorithms for clinical coding using clinical classification standards." Thesis, 2018. http://hdl.handle.net/1959.7/uws:49614.

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In Australia, hospital discharge summaries created at the end of an episode of care contain patient information such as demographic data, medical history, various diagnosis, interventions carried out, medications and drug therapies provided to the patient. These discharge summaries not only serve as a record of the episode of care, but later converted into a set of clinical codes for statistical analysis purposes. The process of clinical coding refers to assigning alphanumeric codes to discharge summaries. In Australia, clinical coding is done using International Classification of Diseases, ve

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14

Barrett, Neil. "Natural language processing techniques for the purpose of sentinel event information extraction." Thesis, 2012. http://hdl.handle.net/1828/4320.

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An approach to biomedical language processing is to apply existing natural language processing (NLP) solutions to biomedical texts. Often, existing NLP solutions are less successful in the biomedical domain relative to their non-biomedical domain performance (e.g., relative to newspaper text). Biomedical NLP is likely best served by methods, information and tools that account for its particular challenges. In this thesis, I describe an NLP system specifically engineered for sentinel event extraction from clinical documents. The NLP system's design accounts for several biomedical NLP challe

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15

Nouri, Golmaei Sara. "Improving the Performance of Clinical Prediction Tasks by using Structured and Unstructured Data combined with a Patient Network." Thesis, 2021. http://dx.doi.org/10.7912/C2/41.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>With the increasing availability of Electronic Health Records (EHRs) and advances in deep learning techniques, developing deep predictive models that use EHR data to solve healthcare problems has gained momentum in recent years. The majority of clinical predictive models benefit from structured data in EHR (e.g., lab measurements and medications). Still, learning clinical outcomes from all possible information sources is one of the main challenges when building predictive models. This work focuses mainly on two sources of information

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