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41
Adaptations in Speech Processing
Xu, Jue. - : Humboldt-Universität zu Berlin, 2021
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42
Percevoir, éprouver, nommer ... : Notes sur l’effort apophantique ...
Loayza, Daniel. - : Classiques Garnier, 2021
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43
DIFFERENCES BETWEEN PHRASAL VERBS AND PHRASEOLOGISMS ...
Xurramova, Nargiza Abduraxmanovna. - : Academic research in educational sciences, 2021
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44
'What it feels like to be an other': imaginations of displacement in contemporary speculative fiction
In: Studies in Arts and Humanities ; 4 ; 2 ; 79-95 ; Asylum Narratives (2021)
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45
Hegel e a certeza sensível
In: Griot: Revista de Filosofia ; 21 ; 1 ; 168-179 (2021)
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46
Pensar em modelos: Adorno e a filosofia como exercício
In: Griot: Revista de Filosofia ; 21 ; 1 ; 250-260 (2021)
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47
Comparison of delivery methods of an interprofessional education activity for occupational therapy and physical therapy students ; HPE Day 2021 Poster #002
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48
Determinants of bilingualism predict dynamic changes in resting state EEG oscillations
In: Brain and Language ; 223 (2021). - 105030. - Elsevier. - ISSN 0093-934X. - eISSN 1090-2155 (2021)
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49
Understanding patient experience from online medium
Cho, Hyun Duk. - 2021
Abstract: Improving patient experience at hospitals leads to better health outcomes. To improve this, we must first understand and interpret patients' written feedback. Patient-generated texts such as patient reviews found on RateMD, or online health forums found on WebMD are venues where patients post about their experiences. Due to the massive amounts of patient-generated texts that exist online, an automated approach to identifying the topics from patient experience taxonomy is the only realistic option to analyze these texts. However, not only is there a lack of annotated taxonomy on these media, but also word usage is colloquial, making it challenging to apply standardized NLP technique to identify the topics that are present in the patient-generated texts. Furthermore, patients may describe multiple topics in the patient-generated texts which drastically increases the complexity of the task. In this thesis, we address the challenges in comprehensively and automatically understanding the patient experience from patient-generated texts. We first built a set of rich semantic features to represent the corpus which helps capture meanings that may not typically be captured by the bag-of-words (BOW) model. Unlike the BOW model, semantic feature representation captures the context and in-depth meaning behind each word in the corpus. To the best of our knowledge, no existing work in understanding patient experience from patient-generated texts delves into which semantic features help capture the characteristics of the corpus. Furthermore, patients generally talk about multiple topics when they write in patient-generated texts, and these are frequently interdependent of each other. There are two types of topic interdependencies, those that are semantically similar, and those that are not. We built a constraint-based deep neural network classifier to capture the two types of topic interdependencies and empirically show the classification performance improvement over the baseline approaches. Past research has also indicated that patient experiences differ depending on patient segments [1-4]. The segments can be based on demographics, for instance, by race, gender, or geographical location. Similarly, the segments can be based on health status, for example, whether or not the patient is taking medication, whether or not the patient has a particular disease, or whether or not the patient is readmitted to the hospital. To better understand patient experiences, we built an automated approach to identify patient segments with a focus on whether the person has stopped taking the medication or not. The technique used to identify the patient segment is general enough that we envision the approach to be applicable to other types of patient segments. With a comprehensive understanding of patient experiences, we envision an application system where clinicians can directly read the most relevant patient-generated texts that pertain to their interest. The system can capture topics from patient experience taxonomy that is of interest to each clinician or designated expert, and we believe the system is one of many approaches that can ultimately help improve the patient experience. ; U of I Only ; Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system
Keyword: deep neural network; feature analysis; healthcare; linguistics; matrix factorization; online reviews; patient experience; patient reviews; patient-generated texts; patients; psycholinguistics; topic modeling
URL: http://hdl.handle.net/2142/105760
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50
Traducir la experiencia - La experiencia del traducir
In: EU-topías. Revista de interculturalidad, comunicación y estudios europeos; VOL. 5 (2013); 41-43 ; EU-topías, rivista di interculturalità, communicazione e studi europei; VOL. 5 (2013); 41-43 ; EU-topías. A Journal on Interculturality, Communication, and European Studies; VOL. 5 (2013); 41-43 ; EU-topías. Revue d'interculturalité, de communication et d'études européennes; VOL. 5 (2013); 41-43 ; 2340-115X ; 2174-8454 (2021)
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51
Ludolinguistica e formazione di insegnanti di italiano LS/L2
In: Studi di glottodidattica; V. 6, N. 2 (2021); 14 - 23 ; 1970-1861 (2021)
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52
Practitioners' perspectives and experiences of supporting bilingual pupils on the autism spectrum in two linguistically different educational settings
Howard, Katie; Katsos, Napoleon; Gibson, Jenny. - : Wiley, 2021. : British Educational Research Journal, 2021
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53
Hmong American Charter Schools: An Exploratory and Descriptive Study
In: Journal of Southeast Asian American Education and Advancement (2021)
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54
On the ends of universalism
Messling, Markus; Hofmann, Franck. - : Saarländische Universitäts- und Landesbibliothek, 2021
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55
SOME ASPECTS OF LANGUAGE POLICY IN THE PUBLIC ADMINISTRATION SYSTEM: EUROPEAN CONTEXT ; ДЕЯКІ АСПЕКТИ РЕАЛІЗАЦІЇ МОВНОЇ ПОЛІТИКИ В СИСТЕМІ ПУБЛІЧНОГО УПРАВЛІННЯ: ЄВРОПЕЙСЬКИЙ КОНТЕКСТ
In: ACTUAL PROBLEMS OF PUBLIC ADMINISTRATION; Vol. 1 No. 82 (2021); 142-147 ; Актуальні проблеми державного управління; Том 1 № 82 (2021); 142-147 ; 1993-8330 ; 10.35432/1993-8330appa1822021 (2021)
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56
LIFELONG FOREIGN LANGUAGE LEARNING FOR SPECIAL PURPOSES IN THE INFORMATION SOCIETY ; ЦІЛЬОВЕ ВИВЧЕННЯ ІНОЗЕМНИХ МОВ ВПРОДОВЖ ЖИТТЯ В УМОВАХ ІНФОРМАЦІЙНОГО СУСПІЛЬСТВА
In: Youth & market; No. 4/190 (2021) ; Молодь і ринок; № 4/190 (2021) ; 2617-0825 ; 2308-4634 ; 10.24919/2617-0825.4/190.2021 (2021)
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57
MOTIVATIONAL ASPECTS OF LEARNING ENGLISH AS A FOREIGN LANGUAGE IN ERA OF GLOBALIZATION ; МОТИВАЦІЙНІ АСПЕКТИ ВИВЧЕННЯ АНГЛІЙСЬКОЇ МОВИ ЯК ІНОЗЕМНОЇ В ЕПОХУ ГЛОБАЛІЗАЦІЇ
In: Youth & market; No. 4/190 (2021) ; Молодь і ринок; № 4/190 (2021) ; 2617-0825 ; 2308-4634 ; 10.24919/2617-0825.4/190.2021 (2021)
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58
ENGLISH LANGUAGE TEACHING USING ZOOM: A REPORT OF EXPERIENCES ; O ENSINO DE LÍNGUA INGLESA UTILIZANDO O ZOOM: UM RELATO DE EXPERIÊNCIAS
In: ReTER; ReTER - Dossiê Práticas de Ensino Remoto nas Áreas de Educação, Letras e Interdisciplinar - v. 2, n. 2, 2021; e18/01-14 ; Revista Tecnologias Educacionais em Rede (ReTER); ReTER - Dossiê Práticas de Ensino Remoto nas Áreas de Educação, Letras e Interdisciplinar - v. 2, n. 2, 2021; e18/01-14 ; 2675-9950 (2021)
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59
Narrativas tecidas em contextos educacionais inclusivos: experiências escolares de alunos surdos em Alagoas
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60
Imagem-experiência : uma ação poética entre brechas da vida cotidiana
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