Generalized Propensity Score Matching with Multilevel Treatment Options by Onur Baser

“…Results are compared with multivariate regression analysis, where the generalized linear model is used with gamma family and log link function…”
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Generalized Score Comparison-Based Learning Objective for Deep Speaker Embedding by Min Hyun Han, Sung Hwan Mun, Nam Soo Kim

“…Furthermore, we propose a generalized loss function for score comparison-based learning, encompassing many conventional training losses and regularization techniques. …”
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Clinical functioning information tool – coronavirus disease 2019 (ClinFIT COVID-19): psychometric evaluation and development of an interval-scaled functioning score across the care... by Masahiko Mukaino, Catarina Aguiar Branco, Alia Alghwiri, Sonia Amato, Antonios Kontaxakis, Mihai Berteanu, Hüma Bölük Şenlikci, Pinar Borman, Salmane Diouane, Maryam Fourtassi, Francesca Gimigliano, Abderrazak Hajjioui, Xiaolei Hu, Sinforian Kambou, Cho-I Lin, Mohamed I. Mabrouk, Evanthia Mitsiokapa, Remus Iulian Nica, Christina-Anastasia Rapidi, Gabriella Serlenga, Arianna Silvestri, Sinikka Tarvonen-Schröder, Clara Ursescu, Arja Viinanen, Panagiotis Vorniotakis, Melissa Selb

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Navigating data availability challenges in healthcare: assessing the added value of pulmonary function testing to the Care Assessment Need score for mortality risk by Arianne K Baldomero, Anders Westanmo, Amy Gravely, Meredith C McCormack, Khalid A Ishani

“…We hypothesised that FEV1 %pred is independently associated with mortality risk, even after adjusting for the Care Assessment Needs (CAN) score, a validated method developed by the Veterans Health Administration (VA) to predict mortality. …”
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Graph neural processes for molecules: an evaluation on docking scores and strategies to improve generalization by Miguel García-Ortegón, Srijit Seal, Carl Rasmussen, Andreas Bender, Sergio Bacallado

“…In order to increase meta-generalization to divergent test functions, we propose fine-tuning strategies that adapt the parameters of NPs. …”
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Evaluation of Bayesian network scoring functions in polychotomous data analysis by Xuejia Ke, Katherine Keenan, V. Anne Smith

“…Among these, the BDe scoring function requires specifying hyperparameters that influence the priors on the network parameters. …”
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Impacts of efficiency on food security status of smallholders in the Gurage Zone of Ethiopia by Gizachew Argaw, Degye Goshu, Mengistu Ketema, Abule Mehare

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Agomelatine: A review for general practitioners by K. Outhoff

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Anesthesiological management in endovascular mechanical thrombectomy: a propensity score-matched retrospective analysis in Italy by Antonio Romanelli, Aniello Iovino, Antonella Langone, Rosa Napoletano, Giulia Frauenfelder, Flora Minichino, Liliana D’Ambrosio, Miriam Caterino, Raffaele Tortora, Renato Gammaldi, Paolo Barone, Renato Saponiero, Daniele Giuseppe Romano

“…Background Endovascular mechanical thrombectomy (EMT) can be performed with general anesthesia (GA) or using non-GA techniques. …”
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Factors associated with cognitive impairment for people with mental health disorders: screening from general hospitals and an emergency care unit in Brazil by Alice Hirdes, Johanna de Almeida Mello, Wagner de Lara Machado, Elton Luiz Ferlin, John P. Hirdes

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Aesthetic and Functional Rehabilitation of a Patient with Generalized Tooth Wear by Liyana Arachchige Aruni Pradeepika, Indika Thilakumara, Aruni Tilakaratne, Manil Fonseka

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Association between oxidative balance score and lung function and FeNO and mortality in the US population by Chang Liu, Dan Liang, Guoan Xiang, Kun Xiao, Lixin Xie

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Cognitive recovery assessment in patients after desflurane versus sevoflurane-based general anaesthesia: A randomised, comparative, double-blinded study by Ankita Verma, Nidhi Arun, Annu Choudhary, Md Parwaj H. Ansari

“…Postoperatively, all patients were transferred to the post-anaesthesia care unit (PACU), and cognitive function was reevaluated at 30, 90, and 150 minutes. …”
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Danish primary care: a focus on general practice in the Danish healthcare system by Peter Haastrup, Anne Møller, Jette Kolding Kristensen, Linda Huibers

“…This analysis of the Danish primary healthcare system with focus on general practice describes the system’s overall structure, function, and financing. …”
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Care for patients with cerebrovascular disease in a general hospital. 2 years experience by Joan Omar Rojas Fuentes, Yainelí Cutiño Maas, Ricardo Verdecia Fraga, Ada Sánchez Lozano, Didiesdle Herrera Alonso, Julio López Arguelles

“…<strong><br />Results</strong>: 972 patients suffered from cerebrovascular disease, hospital stay was reduced by two days, the attention of specialized equipment increased from 51.75% to 79.2% patients were discharged with a mild degree of functional dependence. <br /><strong>Conclusions</strong>: The differentiated services to cerebrovascular disease in general hospitals shows benefits for patients.…”
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ASSESSMENT OF MAXILLOFACIAL TRAUMA IN KANJURUHAN GENERAL HOSPITAL MALANG USING FACIAL INJURY SEVERITY SCALE (FISS) SCORING SYSTEM by Kunthi Kencana Makayasa Putri, Deddy Setyo Nugroho

“…Most patients had a FISS score of 2 (24.7%). Conclusion: The majority of maxillofacial trauma cases in the Emergency Room of Kanjuruhan General Hospital were classified as mild according to the FISS scoring system. …”
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Prospective analysis of quantitative EEG indices for predicting functional outcomes in acute ischemic stroke by Yuan Zhang, Hongshan Chu, Qi Qiao, Shibo Dong, Jing Liu, Hebo Wang

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On Generalized Overlap and Grouping Indices in n-Dimensional Contexts by Tiago Asmus, Graçaliz Dimuro, Giancarlo Lucca, Cedric Marco-Detchart, Helida Santos, Heloisa Camargo, Humberto Bustince

“…Many studies have generalized the concepts of overlap and grouping functions to be applied in n-dimensional problems. …”
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Association Between Frailty Scoring and Cardiopulmonary Exercise Testing: A Retrospective Cohort Study by Alex Hunter, Matthew Roche, Moheb Robeel, Luke Hodgson

“…Simpler objective assessments of functional capacity, such as Clinical Frailty Scale (CFS) scoring, predict postoperative complications and may be useful in aiding shared decision and perioperative planning. …”
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Enhancing polygenic scores for cardiometabolic traits through tissue- and cell-type-specific functional annotations by Kristjan Norland, Daniel J. Schaid, Iftikhar J. Kullo

“…Summary: Functional genomic annotations can improve polygenic scores (PGS) within and between genetic ancestry groups. …”
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