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Journal articles on the topic 'Clinical relation'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Gumiel, Yohan Bonescki, Lucas Emanuel Silva e Oliveira, Vincent Claveau, et al. "Temporal Relation Extraction in Clinical Texts." ACM Computing Surveys 54, no. 7 (2022): 1–36. http://dx.doi.org/10.1145/3462475.

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Unstructured data in electronic health records, represented by clinical texts, are a vast source of healthcare information because they describe a patient's journey, including clinical findings, procedures, and information about the continuity of care. The publication of several studies on temporal relation extraction from clinical texts during the last decade and the realization of multiple shared tasks highlight the importance of this research theme. Therefore, we propose a review of temporal relation extraction in clinical texts. We analyzed 105 articles and verified that relations between

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Lin, Chen, Dmitriy Dligach, Timothy A. Miller, Steven Bethard, and Guergana K. Savova. "Multilayered temporal modeling for the clinical domain." Journal of the American Medical Informatics Association 23, no. 2 (2015): 387–95. http://dx.doi.org/10.1093/jamia/ocv113.

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Abstract Objective To develop an open-source temporal relation discovery system for the clinical domain. The system is capable of automatically inferring temporal relations between events and time expressions using a multilayered modeling strategy. It can operate at different levels of granularity—from rough temporality expressed as event relations to the document creation time (DCT) to temporal containment to fine-grained classic Allen-style relations. Materials and Methods We evaluated our systems on 2 clinical corpora. One is a subset of the Temporal Histories of Your Medical Events (THYME)

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Li, Yifu, Ran Jin, and Yuan Luo. "Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs)." Journal of the American Medical Informatics Association 26, no. 3 (2018): 262–68. http://dx.doi.org/10.1093/jamia/ocy157.

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Abstract We propose to use segment graph convolutional and recurrent neural networks (Seg-GCRNs), which use only word embedding and sentence syntactic dependencies, to classify relations from clinical notes without manual feature engineering. In this study, the relations between 2 medical concepts are classified by simultaneously learning representations of text segments in the context of sentence syntactic dependency: preceding, concept1, middle, concept2, and succeeding segments. Seg-GCRN was systematically evaluated on the i2b2/VA relation classification challenge datasets. Experiments show

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NAKAMURA, Ryuta. "Relation of clinical development and PMDA." Japanese Journal of Thrombosis and Hemostasis 26, no. 4 (2015): 376–84. http://dx.doi.org/10.2491/jjsth.26.376.

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5

Yamanaka, Toshiaki, Shiho Shirota, Yachiyo Sawai, et al. "Clinical relation between BPPV and osteoporosis." Equilibrium Research 71, no. 1 (2012): 33–39. http://dx.doi.org/10.3757/jser.71.33.

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Puhakka, Heikki J., Kari Liippo, and Eero Tala. "Mediastinoscopy in Relation to Clinical Evaluation." Scandinavian Journal of Thoracic and Cardiovascular Surgery 24, no. 1 (1990): 43–45. http://dx.doi.org/10.3109/14017439009101822.

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ROSSETTI, L. "Clinical neuroprotection in relation to ophthalmology." Acta Ophthalmologica 91 (August 2013): 0. http://dx.doi.org/10.1111/j.1755-3768.2013.1643.x.

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8

Lv, Xinbo, Yi Guan, Jinfeng Yang, and Jiawei Wu. "Clinical Relation Extraction with Deep Learning." International Journal of Hybrid Information Technology 9, no. 7 (2016): 237–48. http://dx.doi.org/10.14257/ijhit.2016.9.7.22.

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9

Luo, Yuan, Yu Cheng, Özlem Uzuner, Peter Szolovits, and Justin Starren. "Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes." Journal of the American Medical Informatics Association 25, no. 1 (2017): 93–98. http://dx.doi.org/10.1093/jamia/ocx090.

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Abstract We propose Segment Convolutional Neural Networks (Seg-CNNs) for classifying relations from clinical notes. Seg-CNNs use only word-embedding features without manual feature engineering. Unlike typical CNN models, relations between 2 concepts are identified by simultaneously learning separate representations for text segments in a sentence: preceding, concept1, middle, concept2, and succeeding. We evaluate Seg-CNN on the i2b2/VA relation classification challenge dataset. We show that Seg-CNN achieves a state-of-the-art micro-average F-measure of 0.742 for overall evaluation, 0.686 for c

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10

Shi, Xue, Yingping Yi, Ying Xiong, et al. "Extracting entities with attributes in clinical text via joint deep learning." Journal of the American Medical Informatics Association 26, no. 12 (2019): 1584–91. http://dx.doi.org/10.1093/jamia/ocz158.

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Abstract Objective Extracting clinical entities and their attributes is a fundamental task of natural language processing (NLP) in the medical domain. This task is typically recognized as 2 sequential subtasks in a pipeline, clinical entity or attribute recognition followed by entity-attribute relation extraction. One problem of pipeline methods is that errors from entity recognition are unavoidably passed to relation extraction. We propose a novel joint deep learning method to recognize clinical entities or attributes and extract entity-attribute relations simultaneously. Materials and Method

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Janin, Pierre. "Relation verticale, relation horizontale. le pari gestaltiste du « nous »." Gestalt 26, no. 1 (2004): 163. http://dx.doi.org/10.3917/gest.026.0163.

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Baygutalp, Nurcan. "The relation between serum vitamin D levels and clinical findings of fibromyalgia syndrome." Dicle Medical Journal / Dicle Tip Dergisi 41, no. 3 (2014): 446–50. http://dx.doi.org/10.5798/diclemedj.0921.2014.03.0452.

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13

Sharma, Dr Mousumi, Dr Rahul Saxena, Dr Bushra Shaida, Dr Anshu Nanda, Dr Dilutpal Sharma, and Dr Alok Milton Lall. "Relation of senescence with systemic inflammation and serum paraoxanase activity: A clinical approach." Scholars Journal of Applied Medical Sciences 4, no. 7 (2016): 2557–62. http://dx.doi.org/10.21276/sjams.2016.4.7.53.

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14

Furukawa, Mitsuru. "Clinical Symptoms in Relation to Nasopharyngeal Carcinoma." Practica Oto-Rhino-Laryngologica 86, no. 3 (1993): 305–10. http://dx.doi.org/10.5631/jibirin.86.305.

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15

Li, Fang, Jingcheng Du, Yongqun He, et al. "Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events." Journal of the American Medical Informatics Association 27, no. 7 (2020): 1046–56. http://dx.doi.org/10.1093/jamia/ocaa058.

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Abstract Objective The goal of this study is to develop a robust Time Event Ontology (TEO), which can formally represent and reason both structured and unstructured temporal information. Materials and Methods Using our previous Clinical Narrative Temporal Relation Ontology 1.0 and 2.0 as a starting point, we redesigned concept primitives (clinical events and temporal expressions) and enriched temporal relations. Specifically, 2 sets of temporal relations (Allen’s interval algebra and a novel suite of basic time relations) were used to specify qualitative temporal order relations, and a Tempora

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16

Natanson, Jacques. "Singularité, séparation, relation." Imaginaire & Inconscient 20, no. 2 (2007): 37. http://dx.doi.org/10.3917/imin.020.0037.

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17

Marc, Edmond, and Dominique Picard. "Conflit et relation." Gestalt 46, no. 1 (2015): 129. http://dx.doi.org/10.3917/gest.046.0129.

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18

Uzuner, Özlem, Brett R. South, Shuying Shen, and Scott L. DuVall. "2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text." Journal of the American Medical Informatics Association 18, no. 5 (2011): 552–56. http://dx.doi.org/10.1136/amiajnl-2011-000203.

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Abstract The 2010 i2b2/VA Workshop on Natural Language Processing Challenges for Clinical Records presented three tasks: a concept extraction task focused on the extraction of medical concepts from patient reports; an assertion classification task focused on assigning assertion types for medical problem concepts; and a relation classification task focused on assigning relation types that hold between medical problems, tests, and treatments. i2b2 and the VA provided an annotated reference standard corpus for the three tasks. Using this reference standard, 22 systems were developed for concept e

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19

Zhou, Yichao, Yu Yan, Rujun Han, et al. "Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 16 (2021): 14647–55. http://dx.doi.org/10.1609/aaai.v35i16.17721.

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There has been a steady need in the medical community to precisely extract the temporal relations between clinical events. In particular, temporal information can facilitate a variety of downstream applications such as case report retrieval and medical question answering. Existing methods either require expensive feature engineering or are incapable of modeling the global relational dependencies among the events. In this paper, we propose a novel method, Clinical Temporal ReLation Exaction with Probabilistic Soft Logic Regularization and Global Inference (CTRL-PG) to tackle the problem at the

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20

Aronson, Doron, and Andrew J. Burger. "Diuretic Response: Clinical and Hemodynamic Predictors and Relation to Clinical Outcome." Journal of Cardiac Failure 22, no. 3 (2016): 193–200. http://dx.doi.org/10.1016/j.cardfail.2015.07.006.

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21

Roelofs, Jeffrey, Chris Lee, Tamara Ruijten, and Jill Lobbestael. "The Mediating Role of Early Maladaptive Schemas in the Relation between Quality of Attachment Relationships and Symptoms of Depression in Adolescents." Behavioural and Cognitive Psychotherapy 39, no. 4 (2011): 471–79. http://dx.doi.org/10.1017/s1352465811000117.

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Background:Quality of attachment relations between adolescents and their parents and peers may be related to early maladaptive schemas as well as to symptoms of depression.Aims:The aim of the current study was to assess whether schema domains and maladaptive schemas mediate the relation between indices of quality of attachment relationships with parents and peers and symptoms of depression in non-clinical adolescents (N= 222).Method:A battery of questionnaires was completed, including measures of quality of attachment relations, maladaptive schemas, and depression.Results:The schema domains of

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22

Agrawal, Manmohan, Lakshmi Agarwal, Sashi Kochar, R. K. Tanwar, and Girish Khandelwal. "Clinical, Radiological and Pathological Co-Relation Of Mandibular Involvement In Cancers Of Oral Cavity." Annals of Oral Health and Dental Research 1, no. 1 (2017): A1—A5. http://dx.doi.org/10.21276/aohdr.1760.

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23

Kliś, Kornelia M., Roger M. Krzyżewski, Borys M. Kwinta, et al. "Relation of Intracerebral Hemorrhage Descriptors with Clinical Factors." Brain Sciences 10, no. 4 (2020): 252. http://dx.doi.org/10.3390/brainsci10040252.

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The association between intracerebral hemorrhage (ICH) shape and a poor treatment outcome has been established by few authors. We decided to analyze whether computationally assessed hemorrhage shape irregularity is associated with any known predictors of its poor treatment outcome. We retrospectively analyzed 48 patients with spontaneous intracerebral hemorrhage. For each patient we calculated Fractal Dimension, Compactness, Fourier Factor and Circle Factor. Our study showed that patients above 65 years old had significantly higher Compactness (0.70 ± 0.19 vs. 0.56 ± 0.20; p < 0.01), Fracta

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24

Chandak, Rakhi, Manoj Chandak, and Shivlal Rawlani. "Cystic hygroma: Clinical, ultrasonographic, and cytological co-relation." Indian Journal of Multidisciplinary Dentistry 6, no. 1 (2016): 52. http://dx.doi.org/10.4103/2229-6360.188237.

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25

Tsunoda, Atsunobu, Noriko Ainoda, Hiroshi Miyauchi, Koichi Yamashita, and Atsushi Komatsuzaki. "Laryngeal Stroboscopy: Clinical Aspects and Relation to Hoarseness." Nihon Kikan Shokudoka Gakkai Kaiho 43, no. 1 (1992): 1–4. http://dx.doi.org/10.2468/jbes.43.1.

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26

Bianchetti, Angelo, Renzo Rozzini, Luca Bianchetti, Flaminia Coccia, Fabio Guerini, and Marco Trabucchi. "Dementia Clinical Care in Relation to COVID-19." Current Treatment Options in Neurology 24, no. 1 (2022): 1–15. http://dx.doi.org/10.1007/s11940-022-00706-7.

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27

Casaer, Michael P. "The nutritional energy to clinical outcome relation revisited." Critical Care 18, no. 3 (2014): 140. http://dx.doi.org/10.1186/cc13861.

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28

TARANTOLA, GREGORY J., IRWIN M. BECKER, and HENRY GREMILLION. "THE REPRODUCIBILITY OF CENTRIC RELATION: A CLINICAL APPROACH." Journal of the American Dental Association 128, no. 9 (1997): 1245–51. http://dx.doi.org/10.14219/jada.archive.1997.0401.

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29

Schwaber, Evelyne Albrecht. "Psychoanalytic Theory and its Relation to Clinical Work." Journal of the American Psychoanalytic Association 40, no. 4 (1992): 1039–58. http://dx.doi.org/10.1177/000306519204000404.

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Freud's shift to the fantasy theory of neurosogenesis defined the investigation of intrapsychic life as our fundamental theoretical purview. In assigning to inner experience a data base for scientific exploration, there is reflected a central epistemological innovation which must profoundly alter the way we view what is real. This paper considers some of the continuing clinical challenges and far-reaching implications posed by this shift to “psychic reality” as our core psychoanalytic theory.

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Johnsen, Jon, Allan Stowell, and Jerg Morland. "Clinical Responses in Relation to Blood Acetaldehyde Levels." Pharmacology & Toxicology 70, no. 1 (1992): 41–45. http://dx.doi.org/10.1111/j.1600-0773.1992.tb00423.x.

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31

Lindblad, Ulf, and Arne Melander. "Sulphonylurea dose-response relationships: relation to clinical practice." Diabetes, Obesity and Metabolism 2, no. 1 (2000): 25–31. http://dx.doi.org/10.1046/j.1463-1326.2000.00046.x.

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32

Yamashita, Takanori, Brendan Flanagan, Yoshifumi Wakata, et al. "Visualization of Key Factor Relation in Clinical Pathway." Procedia Computer Science 60 (2015): 342–51. http://dx.doi.org/10.1016/j.procs.2015.08.139.

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33

Woelfel, Julian B. "A Simple Clinical Technique for Recording Centric Relation." Journal of Japan Gnathology 15, no. 3 (1994): 125–31. http://dx.doi.org/10.14399/jacd1982.15.125.

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34

Haffajee, A. D., S. S. Socransky, and J. M. Goodson. "Subgingival temperature (I). Relation to baseline clinical parameters." Journal of Clinical Periodontology 19, no. 6 (1992): 401–8. http://dx.doi.org/10.1111/j.1600-051x.1992.tb00670.x.

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35

Shoucri, Rachad M. "Clinical application of end-systolic pressure-volume relation." Annals of Biomedical Engineering 22, no. 2 (1994): 212–17. http://dx.doi.org/10.1007/bf02390379.

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36

Dr.Megha, Ramesh Triwadi Dr.Pratik Srikanth Navandhar. "DRY EYE AND MIGRAINE: A CLINICAL CO-RELATION." International Journal of Medical Science in Clinical Research and Review 6, no. 01 (2023): 91–99. https://doi.org/10.5281/zenodo.7558361.

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<strong>ABSTRACT</strong>: <strong>BACKGROUND</strong>: Dry eye and migraine are common diseases with large societal and economic burdens in recent literature. previous studies indicates harmony in pathogenesis of dry eye and migraine. In busy ophthalmic opd underviewing increasing burden of ocular discomfort in migraine patient quick examination and diagnosis helps improving quality of life in migraine sufferers. <strong>OBJECTIVE</strong>: In current study we aim to study association between dry eye and migraine. DESIGN: Population Based Cross Section Study. <strong>METHOD</strong>

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Sekita-Krzak, Joanna, Alicja Kostencka, and Beata Cichacz-Kwiatkowska. "Etiopathogenetical and clinical relation of stress and depression." Journal of Health Sciences 4, no. 11 (2014): 222–28. https://doi.org/10.5281/zenodo.12725.

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<strong>Abstract</strong>             Practically every aspect of our person may be under stress, and its effects are partially mediated by corticosteroid hormones, which affect the nervous system. Stress can directly induce dysfunction and pathological alterations in brain structure. Using a broad definition of stress, we have focused on the structural consequences of stress exposure and mainly on etiopathogenetical and clinical relation o of stress and depression.             Depress

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Farouk, Hanan M., Amina B. Abdelaziz, Mohammad A. Rashad, Nashwa A. Morshedy, Madonna H. Gad, and Dalia A. ElSherbiny. "Uveitis in spondyloarthritis patients: Relation to clinical characteristics." Egyptian Rheumatologist 47, no. 2 (2025): 61–64. https://doi.org/10.1016/j.ejr.2025.01.001.

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39

S Pagad, Naveen, and Pradeep N. "END-TO-END RELATION EXTRACTION ON CLINICAL TEXT DATA USING NATURAL LANGUAGE PROCESSING." Azerbaijan Journal of High Performance Computing 4, no. 2 (2021): 232–41. http://dx.doi.org/10.32010/26166127.2021.4.2.232.241.

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In light of the increasing number of clinical narratives, a modern framework for assessing patient histories and carrying out clinical research has been developed. As a consequence of using existing approaches, the process for recognizing clinical entities and extracting relations from clinical narratives was subsequently error propagated. Thus, we propose an end-to-end clinical relation extraction model in this paper. Clinical XLNet has been used as the base model to address the discrepancy issue, and the proposed work has been tested with the N2C2 corpus.

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40

Scarparo, Simona. "CLINICAL AUDIT, GUIDELINES AND STANDARDS: A PRODUCTIVE RELATION FOR MANAGING CLINICAL PRACTICES." Financial Accountability & Management 27, no. 1 (2011): 83–101. http://dx.doi.org/10.1111/j.1468-0408.2010.00517.x.

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41

Gérard, Christian. "La relation homosexuelle est-elle une relation incestueuse ?" Revue française de psychanalyse 67, no. 1 (2003): 113. http://dx.doi.org/10.3917/rfp.671.0113.

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42

Guo, Man, Meredith Stensland, Mengting Li, and Xinqi Dong. "Parent–Adult Child Relations of Chinese Older Immigrants in the United States: Is There an Optimal Type?" Journals of Gerontology: Series B 75, no. 4 (2019): 889–98. http://dx.doi.org/10.1093/geronb/gbz021.

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Abstract Objectives This study aims to identify (a) different types of parent–child relations among Chinese older immigrants, (b) predictors of each relation type, and (c) the most “optimal” type that is associated with better psychological well-being of the older adults. Methods Data were derived from 3,109 Chinese elderly adults in Chicago. Latent Class Analysis was used to identify structures of parent–child relations based on eight indicators of family solidarity. Logistic regressions were used to predict the relation types. Negative binomial and logistic regressions were used to examine t

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NH., Rekha, and Vidyashree J. "Study of Cerebrovascular Accident in Relation to Clinical Correlation with Findings of CT Scan Brain." International Journal of Neurology and Neurosurgery 11, no. 1 (2019): 67–70. http://dx.doi.org/10.21088/ijnns.0975.0223.11119.11.

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44

Yang, Xi, Jiang Bian, Ruogu Fang, Ragnhildur I. Bjarnadottir, William R. Hogan, and Yonghui Wu. "Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting." Journal of the American Medical Informatics Association 27, no. 1 (2019): 65–72. http://dx.doi.org/10.1093/jamia/ocz144.

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Abstract Objective To develop a natural language processing system that identifies relations of medications with adverse drug events from clinical narratives. This project is part of the 2018 n2c2 challenge. Materials and Methods We developed a novel clinical named entity recognition method based on an recurrent convolutional neural network and compared it to a recurrent neural network implemented using the long-short term memory architecture, explored methods to integrate medical knowledge as embedding layers in neural networks, and investigated 3 machine learning models, including support ve

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45

Dang, Jianning, Li Liu, Deyun Ren, and Zibei Gu. "“Groupy” Allies Are More Beneficial While “Groupy” Enemies Are More Harmful." Social Psychological and Personality Science 9, no. 8 (2017): 925–34. http://dx.doi.org/10.1177/1948550617729409.

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Previous research about group perception in terms of warmth and competence focused on the effects of social structural factors but overlooked the role of the fundamental group characteristic (i.e., entitativity or groupiness). Three studies were conducted to examine people’s perception of high/low entitativity groups under various functional relations. In Study 1, we experimentally created the target group (i.e., Group X) and manipulated entitativity and functional relation. In Studies 2 and 3, we chose a real group (i.e., Uyghurs) as the target group and measured cues to entitativity (Study 2

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Sun, Yuxin, Zhenying Zhao, Zhongyi Wang, et al. "Leveraging a Joint learning Model to Extract Mixture Symptom Mentions from Traditional Chinese Medicine Clinical Notes." BioMed Research International 2022 (March 8, 2022): 1–7. http://dx.doi.org/10.1155/2022/2146236.

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This paper addresses the mixture symptom mention problem which appears in the structuring of Traditional Chinese Medicine (TCM). We accomplished this by disassembling mixture symptom mentions with entity relation extraction. Over 2,200 clinical notes were annotated to construct the training set. Then, an end-to-end joint learning model was established to extract the entity relations. A joint model leveraging a multihead mechanism was proposed to deal with the problem of relation overlapping. A pretrained transformer encoder was adopted to capture context information. Compared with the entity e

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Hallett, Mark. "Myoclonus: Relation to Epilepsy." Epilepsia 26, s1 (1985): S67—S77. http://dx.doi.org/10.1111/j.1528-1157.1985.tb05726.x.

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48

Czajkowski, Wojciech, and Patryk Pokornicki. "Psychopatic Traits in Interpersonal Relation." Kultura Bezpieczeństwa. Nauka – Praktyka - Refleksje 35, no. 35 (2019): 9–36. http://dx.doi.org/10.5604/01.3001.0014.0245.

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The subject of interest in the presented text is the possible relationship between a number of personality traits of the individual and its functioning in social relation. Dealing with the psychopathic features of personality and their importance in social relations, the authors pay attention to psychopathy, as well as narcissistic features and Machiavellianism in individual’s activity. These three traits since the beginning of the 21st century have aroused vivid interest of researchers and therapists attempting empirical verification of hypotheses in this area. It is also worth indicating. Th

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Bejan, Cosmin Adrian, Wei-Qi Wei, and Joshua C. Denny. "Assessing the role of a medication-indication resource in the treatment relation extraction from clinical text." Journal of the American Medical Informatics Association 22, e1 (2014): e162-e176. http://dx.doi.org/10.1136/amiajnl-2014-002954.

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Abstract Objective To evaluate the contribution of the MEDication Indication (MEDI) resource and SemRep for identifying treatment relations in clinical text. Materials and methods We first processed clinical documents with SemRep to extract the Unified Medical Language System (UMLS) concepts and the treatment relations between them. Then, we incorporated MEDI into a simple algorithm that identifies treatment relations between two concepts if they match a medication-indication pair in this resource. For a better coverage, we expanded MEDI using ontology relationships from RxNorm and UMLS Metath

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50

Hong, Hae-Kyung, Young-Nam Kim, and Gyeong-Soon Han. "Relation between clinical learning environment and clinical performance competency in dental hygiene students." Journal of Korean Society of Dental Hygiene 23, no. 6 (2023): 501–9. http://dx.doi.org/10.13065/jksdh.20230056.

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Objectives: This study aimed to analyze the relation between factors related to the clinical performance competency of dental hygiene students and their clinical learning environment. Methods: The study conducted a survey of dental hygiene students from October 18 to 30, 2023. The data were analyzed using one way analysis of variance, t-test, and stepwise multiple regression. Results: The total practicum lasted ≤10 weeks, 11-15 weeks, and ≥16 weeks for 41.7%, 33.5%, and 24.8% of the students, respectively. Half of them had experience at only one clinical institution. Clinical learning environm

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