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Academic literature on the topic 'Union (Hospital ship)'

Author: Grafiati

Published: 26 July 2024

Last updated: 31 July 2025

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Journal articles on the topic "Union (Hospital ship)"

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J. Al-Khatteib, Hussain, Wejdi A. Al Fatlawy, and Ihsan A. Twaij. "Evaluation of tibial shaft fractures." AL-QADISIYAH MEDICAL JOURNAL 6, no. 9 (2017): 121–31. http://dx.doi.org/10.28922/qmj.2010.6.9.121-131.

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The tibia is the major bone of the lower leg, commonly referred to as the shin bone. Tibia fractures can occur from many types of injuries. Our study is to evaluate patients with different types of fracture shaft tibia. 53 patients were admitted to Al Hakim, Al Sadder & Al Forat hospitals, 39 males &14 females their ages range from 12-55 years were evaluated for different types of fracture shaft tibia in regard to shape of fracture, type of fracture whether open or close, cause of fracture, severity of injury, method of treatment, the complication of treatment, & the time of union

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Huang, Changzheng, Siyuan Chen, Zhixiang Liu, Juan Tao, Chunsen Wang, and Youwen Zhou. "Familial Bullous Lichen Planus (FBLP): Pedigree Analysis and Clinical Characteristics." Journal of Cutaneous Medicine and Surgery 9, no. 5 (2005): 217–22. http://dx.doi.org/10.1177/120347540500900503.

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Background: Familial bullous lichen planus (FBLP) is a rare condition. The clinical features dearly have been described. Objective: We report the largest patient series of FBLP and describe its clinical characteristics and inheritance pattern. Methods: In this retrospective chart review, we analyzed nine consecutive familial pedigrees of FBLP with 36 affected individuals who presented to the Department of Dermatology at the Wuhan Union Hospital, a tertiary referral hospital in central China. Parameters analyzed include age of onset, gender predilection, lesional distribution, nail and mucosal

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Wang, Kan, Li Zhao Yan, Wang Zi Li, et al. "Comparison of Four Machine Learning Techniques for Prediction of Intensive Care Unit Length of Stay in Heart Transplantation Patients." Frontiers in Cardiovascular Medicine 9 (June 21, 2022). http://dx.doi.org/10.3389/fcvm.2022.863642.

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BackgroundPost-operative heart transplantation patients often require admission to an intensive care unit (ICU). Early prediction of the ICU length of stay (ICU-LOS) of these patients is of great significance and can guide treatment while reducing the mortality rate among patients. However, conventional linear models have tended to perform worse than non-linear models.Materials and MethodsWe collected the clinical data of 365 patients from Wuhan Union Hospital who underwent heart transplantation surgery between April 2017 and August 2020. The patients were randomly divided into training data (

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Han, Changxiao, Guangyi Yang, Haibao Wen, et al. "Development and validation of a quick screening tool for predicting neck pain patients benefiting from spinal manipulation: a machine learning study." Chinese Medicine 20, no. 1 (2025). https://doi.org/10.1186/s13020-025-01131-z.

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Abstract Background Neck pain (NP) ranks among the leading causes of years lived with disability worldwide. While spinal manipulation is a common physical therapy intervention for NP, its variable patient responses and inherent risks necessitate careful patient selection. This study aims to develop and validate a machine learning-based prediction model to identify NP patients most likely to benefit from spinal manipulation. Methods This multicenter study analyzed 623 NP patients in a retrospective cohort and 319 patients from a separate hospital for external validation, with data collected bet

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Zhang, Wentai, Dewei Zhang, Shaocheng Liu, et al. "Predicting delayed remission in Cushing’s disease using radiomics models: a multi-center study." Frontiers in Oncology 13 (January 9, 2024). http://dx.doi.org/10.3389/fonc.2023.1218897.

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PurposeNo multi-center radiomics models have been built to predict delayed remission (DR) after transsphenoidal surgery (TSS) in Cushing’s disease (CD). The present study aims to build clinical and radiomics models based on data from three centers to predict DR after TSS in CD.MethodsA total of 122 CD patients from Peking Union Medical College Hospital, Xuanwu Hospital, and Fuzhou General Hospital were enrolled between January 2000 and January 2019. The T1-weighted gadolinium-enhanced MRI images and clinical data were used as inputs to build clinical and radiomics models. The regions of intere

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Nguyen, U., K. Curila, J. Halamek, et al. "Repolarization changes following conduction system pacing evaluated by ultra-high-frequency electrocardiography." Europace 25, Supplement_1 (2023). http://dx.doi.org/10.1093/europace/euad122.353.

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Abstract Funding Acknowledgements Type of funding sources: Public hospital(s). Main funding source(s): This work was supported by the National Institute for Research of Metabolic and Cardiovascular Diseases project (Programme EXCELES, ID Project No. LX22NPO5104) — Funded by the European Union — Next Generation EU and a personal grant from the Dutch Heart Foundation (2021T016). Background On the surface electrogram (ECG) of a normal heart, the polarity of the T-wave is concordant with the QRS complex. This phenomenon could be explained by the presumption that regions that depolarize first repol

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Zang, Han, Ai Hu, Xuanqi Xu, He Ren, and Li Xu. "Development of machine learning models to predict perioperative blood transfusion in hip surgery." BMC Medical Informatics and Decision Making 24, no. 1 (2024). http://dx.doi.org/10.1186/s12911-024-02555-7.

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Abstract Background Allogeneic Blood transfusion is common in hip surgery but is associated with increased morbidity. Accurate prediction of transfusion risk is necessary for minimizing blood product waste and preoperative decision-making. The study aimed to develop machine learning models for predicting perioperative blood transfusion in hip surgery and identify significant risk factors. Methods Data of patients undergoing hip surgery between January 2013 and October 2021 in the Peking Union Medical College Hospital were collected to train and test predictive models. The primary outcome was p

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Li, Jiajing, Yuanyuan Dai, Zhicheng Mu, et al. "Choice of refractive surgery types for myopia assisted by machine learning based on doctors’ surgical selection data." BMC Medical Informatics and Decision Making 24, no. 1 (2024). http://dx.doi.org/10.1186/s12911-024-02451-0.

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AbstractIn recent years, corneal refractive surgery has been widely used in clinics as an effective means to restore vision and improve the quality of life. When choosing myopia-refractive surgery, it is necessary to comprehensively consider the differences in equipment and technology as well as the specificity of individual patients, which heavily depend on the experience of ophthalmologists. In our study, we took advantage of machine learning to learn about the experience of ophthalmologists in decision-making and assist them in the choice of corneal refractive surgery in a new case. Our stu

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Chen, Shiqi, Kan Wang, Chen Wang, et al. "Prediction of postoperative stroke in patients experienced coronary artery bypass grafting surgery: a machine learning approach." Frontiers in Cardiovascular Medicine 11 (December 13, 2024). https://doi.org/10.3389/fcvm.2024.1448740.

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BackgroundCoronary artery bypass grafting (CABG) surgery has been a widely accepted method for treating coronary artery disease. However, its postoperative complications can have a significant effect on long-term patient outcomes. A retrospective study was conducted to identify before and after surgery that contribute to postoperative stroke in patients undergoing CABG, and to develop predictive models and recommendations for single-factor thresholds.Materials and methodsWe utilized data from 1,200 patients who undergone CABG surgery at the Wuhan Union Hospital from 2016 to 2022, which was div

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Books on the topic "Union (Hospital ship)"

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James Carmichael Smyth - undifferentiated. An Account of the Experiment Made at the Desire of the Lords Commissioners of the Admiralty, on Board the Union Hospital Ship, to Determine the Effect of the Nitrous Acid in Destroying Contagion. Gale Ecco, Print Editions, 2018.

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Book chapters on the topic "Union (Hospital ship)"

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Ervin, Keona K. "“Beneath Our Dignity”." In Gateway to Equality. University Press of Kentucky, 2017. http://dx.doi.org/10.5810/kentucky/9780813168838.003.0006.

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Chapter 5 analyzes the initial rocky years of black working-class women’s entry into the needle trades, boot and shoe, and laundry factories and their unions during the early to mid-1940s. Black working-class women exposed the fault lines of the American racial liberalism espoused by civil rights and union progressives who worked to establish “interracial good-will” in unionism and the industrial workforce. Women’s resistance on the shop floor and in the union hall, demanding respect and fairness, challenged and altered community leaders’ programs. Black working-class women were less intereste

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Ross, Kristie. "Arranging a Doll’s House: Refined Women as Union Nurses." In Divided Houses. Oxford University PressNew York, NY, 1992. http://dx.doi.org/10.1093/oso/9780195074079.003.0006.

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Abstract At the end of July 1862, Katharine Wormeley wrote to a friend from her home in Newport, Rhode Island, lamenting the end of her twelve weeks as a nurse on the hospital ships sponsored by the United States Sanitary Commission during the three months of the Peninsular Campaign. She looked back on her experience as a time when she and others aboard the transports had “worked together under the deepest feelings, and to the extent of our powers, shoulder to shoulder, helping each other to the best of our ability, no one failing or hindering another.” Wormeley was sad, she said, “to feel tha

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