基于脑影像及临床特征的机器学习模型预测缺血性卒中后心房颤动 A Machine Learning Model Based on Brain Imaging and Clinical Features for Predicting Atrial Fibrillation Detected after Stroke... by 张栗源1，刘涛2，姜勇1，李子孝1，3，王拥军1，3，杨晓萌1，3(ZHANG Liyuan1, LIU Tao2, JIANG Yong1, LI Zixiao1,3, WANG Yongjun1,3, YANG Xiaomeng1,3 )

“…特征工程阶段，首先应用斯皮尔曼等级相关系数分析（预设阈值|ρ|>0.8）剔除高度共线性特征，保留独立特征后，采用最小绝对收缩和选择算子（least absolute shrinkage and selection operator，LASSO）回归算法进行特征选择并构建联合预测模型。模型性能通过5折交叉验证进行内部验证，采用ROC曲线的AUC作为主要评价指标。…”
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Prognostic value of quickSOFA as a predictor of 28-day mortality among febrile adult patients presenting to emergency departments in Dar es Salaam, Tanzania. by Noémie Boillat-Blanco, Zainab Mbarack, Josephine Samaka, Tarsis Mlaganile, Aline Mamin, Blaise Genton, Laurent Kaiser, Thierry Calandra, Valérie D'Acremont

“…Medical history, clinical examination, laboratory and microbiological data were collected to document the cause of fever. …”
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Single-Incision paediatric laparoscopy-Assisted for the treatment of postnecrotizing enterocolitis colonic strictures: a single-centre retrospective study by Aohua Song, Xunfeng Li, Xiao Xiang, Wei Feng, Zhenhua Guo

“…The data were systematically entered into Microsoft Excel, and the statistical analyses were conducted via SPSS version 22.0. …”
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Circulating Malondialdehyde-Modified LDL-Related Variables and Coronary Artery Stenosis in Asymptomatic Patients with Type 2 Diabetes by Kazuya Fujihara, Hiroaki Suzuki, Akira Sato, Satoru Kodama, Yoriko Heianza, Kazumi Saito, Hitoshi Iwasaki, Kazuto Kobayashi, Shigeru Yatoh, Akimitsu Takahashi, Naoya Yahagi, Hiroaki Yagyu, Hirohito Sone, Hitoshi Shimano

“…The ability of each MDA-LDL-related variable to predict CAS was compared to areas under the curve (AUCs) in receiver operating characteristic curve (ROC) analysis. Results. …”
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Risk factors of bone metastasis in lung adenocarcinoma by Zhongnian Cao, Rong Zheng, Jing Li, Xuejuan Wang, Chao Ding, Fan Zhang, Jianhua Geng, Zhengmao Wei, Rong Fan

“…A receiver operating characteristic curve was used to verify the predictive value of the regression model, and the area under the curve was 0.912 (P < 0.001). …”
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Establishment and validation of a combined diagnostic model for aldosterone-producing adenoma of the adrenal gland based on CT radiomics and clinical features by ZHANG Mingquan, LIU Jingjing, LIN Xin, FU Min, FENG Ying, CHEN Jingjing

“…The indepen-dent influencing factors and the radiomic features were used to establish a combined diagnostic model for unilateral solitary APA, and a nomogram was plotted. The receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) were used to evaluate the performance of the model, and the clinical decision analysis (DCA) and the calibration curve were used to assess the clinical application value of the nomogram. …”
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Development and Validation of a Nomogram Prediction Model for In-hospital Mortality in Patients with Cardiac Arrest: A Retrospective Study by Peifeng Ni, Shurui Xu, Weidong Zhang, Chenxi Wu, Gensheng Zhang, Qiao Gu, Xin Hu, Ying Zhu, Wei Hu, Mengyuan Diao

“…Meanwhile, multivariate regression analysis was used to identify independent risk factors. …”
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Impact of ceiling of care on mortality across four COVID-19 epidemic waves in Catalonia: a multicentre prospective cohort study by Erik Cobo, Carlota Gudiol, Cristian Tebe, Jordi Carratalà, Daniel Fernandez, Gabriela Abelenda-Alonso, Alexander Rombauts, Gemma Molist, Montserrat Sanmarti, Andrea Pérez, Guadalupe Gómez, Antonella F Simonetti, Sebastià Videla, Martha Gonzalez, Alejandro Rodríguez-Molinero, Carlos Pérez-López, Isabel Oriol, Pilar Hereu, Natàlia Pallarés, Jordi Cortés, Elisenda Izquierdo, Vicens Díaz-Brito, Judit Aranda-Lobo, Marta Arroyo, Encarna Moreno, Maria C Alvarez, Ana Faura, Paula Cruz, Mireia Colom, Laura Serrano, Mireia Besalú, Leire Garmendia, Klaus Langohr, Núria Pérez-Álvarez, Xavier Piulachs

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Comparison of Superselective Renal Artery Embolization versus Retroperitoneal Laparoscopic Partial Nephrectomy in Ruptured Hemorrhagic Renal Angiomyolipoma: A Single-Center Study by Zhaoyang Li, Lu Yang, Huitang Yang, Tonghe Zhang, Yandong Cai, Zhan Jiang, Guoju Fan, Kaiqiang Wang, Bo Chen, Hongwei Zhang, Hailong Hu, Yankui Li

“…Methods: A retrospective analysis was conducted on the clinical data of 24 patients who were diagnosed with ruptured hemorrhagic renal angiomyolipoma at the Second Hospital of Tianjin Medical University between January 2019 and December 2021. …”
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Safety and efficacy of robot-assisted technology in severe complex and non-severe spinal deformity correction: a retrospective comparative study by Lijin Zhou, Zihe Feng, Zhangfu Li, Yunsheng Wang, Yong Hai

“…Methods A retrospective analysis was conducted on patients who underwent RA scoliosis correction surgery between January 2021 and April 2024. …”
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Interrelations between transparency of local authorities and corruption: Evidence from municipal surveys in Ukrainian regional cities by Artem Artyukhov, Yuliia Yehorova, Serhiy Lyeonov, Lesia Tykhonchuk, Yuriy Vasylyshen, Serhii Drozd, Yaroslаv Reshetniak

“…The findings suggest that higher transparency of the local authorities is generally associated with lower levels of bribery in the housing and communal services sector (estimation coefficient = –0.204226), in registration and licensing institutions (–0.5353756), in healthcare institutions (–0.2032171), and experience of bribing local authorities (–0.2505674). The analysis concludes that enhancing transparency may significantly reduce corrupt practices within local government operations, thereby strengthening public trust and bringing Ukraine closer to meeting European Union standards. …”
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P-18 ANTI-HBC POSITIVITY IS AN INDEPENDENT PREDICTIVE FACTOR FOR HCC DEVELOPMENT AND SHOULD BE INCORPORATED TO THE HCC RISK SCORE PREDICTION MODEL IN ADVANCED FIBROSIS by Marcus Vinicius de Acevedo Garcia Gomes, Diogo Delgado Dotta, Manuella Andrade Oliveira Sobral, Isabela Bodaczny Taliberti, Alexandre Belucci Trazzi, Eduardo Pombo Nascimento, Betania da Silva Rocha, Patricia Momoyo Yoshimura Zitelli, Rosa Maria Nascimento Marcusso, Mario Guimaraes Pessoa

“…Demographic, clinical and laboratory data were obtained through electronic medical records. …”
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Automatic diagnosis and measurement of intracranial aneurysms using deep learning in MRA raw images by Qingning Yang, Fengxi Chen, Li Li, Rong Zeng, Jiaqing Li, Jingxu Xu, Chencui Huang, Junbang Feng, Chuanming Li

“…BackgroundThe traditional procedure of intracranial aneurysm (IA) diagnosis and evaluation in MRA is manually operated, which is time-consuming and labor-intensive. …”
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Benchmarking AlphaMissense pathogenicity predictions against APP, PSEN1, and PSEN2 variants of unknown significance by Joshua Pillai, Sophia Liu, Kijung Sung, Linda Shi, Chengbiao Wu

“…Additionally, based on the receiver operating characteristic-area under the curve analysis (ROC-AUC), we found that AM retained a high performance on 263 validated variants of these amyloidogenic genes, and performed the greatest compared to other models for the 114 VUS. …”
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Predicting the risk of postoperative avascular necrosis in patients with talar fractures based on an interpretable machine learning model by Jian Zhang, Jian Zhang, Jian Zhang, Jihai Xu, Jihai Xu, Jiapei Yu, Jiapei Yu, Jiapei Yu, Hong Chen, Hong Chen, Xin Hong, Songou Zhang, Xin Wang, Xin Wang, Chengchun Shen, Chengchun Shen, Chengchun Shen

“…The performance of the prediction model was evaluated utilizing metrics including area under the receiver operating characteristic curve (AUC), calibration curves, decision curve analysis (DCA), accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), precision, recall, and F1 score. …”
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Association of wrist circumference with metabolic dysfunction associated fatty liver disease in the KADEM cohort by Fahad Al-Ajmi, Mohamed Abu-Farha, Mohamed Abu-Farha, Ahmed N. Albatineh, Zahraa Ali, Abdullah AL-Enezi, Mohammed Alterki, Rashed Alhammad, Retaj AlHarbi, Mohamed Shehab, Muhammad Abdul-Ghani, Muhammad Abdul-Ghani, Jehad Abubaker, Fahd Al-Mulla

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Impact of Preoperative and Intraoperative Factors on Postoperative Outcomes in Patients with Colorectal Cancer: A 10-Year Retrospective Study by Lucian Flavius Herlo, Ioana Golu, Alexandra Herlo, Claudia Raluca Balasa Virzob, Ionescu Alin, Stela Iurciuc, Ionut Eduard Iordache, Luana Alexandrescu, Doina Ecaterina Tofolean, Raluca Dumache

“…Methods: A retrospective cohort study was conducted on 688 patients who underwent colorectal cancer surgery within a 10-year period. Data collected included demographic information, comorbidities, laboratory values, surgical details, and postoperative outcomes. …”
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Hypomethylation of the Soluble Fms-like Tyrosine Kinase 1 (sFlt-1) Gene Promoter Region and Elevated sFlt-1 Placental Expression as Risk Factors for Preeclampsia by Anak Agung Ngurah Jaya Kusuma, I Made Darmayasa, I Gede Mega Putra, Anom Suardika, Evert Solomon Pangkahila, Vidya Saraswati Putri Duarsa, William William

“…Statistical analyses, including Mann-Whitney U, Chi-square tests, Receiver-operating characteristic (ROC) curve analysis, and multivariate logistic regression, were performed to evaluate the relationship between methylation levels, gene expression, and preeclampsia risk. …”
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Cost efficiency of inpatient rehabilitation following acquired brain injury: the first international adaptation of the UK approach by Ian D Cameron, Julie Ratcliffe, Ian Cameron, Belinda Gabbe, Rachel Milte, Ciara Ryan, Karen Roberts, Zhibin Chen, Russell Gruen, Laura Jolliffe, Natasha A Lannin, Peter Hunter, Maria Crotty, Lynne Turner-Stokes, Lisa Cameron, David Attwood, Anne Holland, Jacqui Morarty, Lynne Turner Stokes, Christine Latimer, Dina Watterson, John Rabling, Melanie Reed, Mithu Palit, Troy Huggins, Verna Smith, Elizabeth O’Shannessy, Rebecca Nicks, Alison Gehrig, Katelyn Moloney, Sophie O’Keefe, Megan Coulter, Margaret Inches, Erin Gee, Sue McLellan

“…Objectives To adapt and apply a model for evaluating the functional benefits and cost efficiency of specialist inpatient rehabilitation to the Australian context, comparing functional outcomes and savings in the cost of ongoing care after acquired brain injury.Design An observational cohort analysis of prospectively collected clinical data from admission to discharge, with follow-up to 3 years.Setting A newly established state-wide inpatient postacute rehabilitation unit in Victoria, Australia for patients with moderate to severe acquired brain injury.Participants This study included consecutive patients admitted to the programme during its first 2 years’ operation (January 2016 to December 2017). …”
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Predicting infections with multidrug-resistant organisms (MDROs) in neurocritical care patients with hospital-acquired pneumonia (HAP): development of a novel multivariate predicti... by Lin Yang, Guangyu Lu, Haiqing Diao, Yang Zhang, Zhiyao Wang, Xiaoguang Liu, Qiang Ma, Hailong Yu, Yuping Li

“…Clinical and laboratory data were collected from the NICU of a grade-A tertiary hospital. …”
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