The Prognostic Value of Inflammatory Indexes in Patients With Severe Traumatic Brain Injury by Yongxiang Yang, Dongbo Zou, Chen Yin, Xiansong Zhu, Yunxing Li, Yuan Ma, Jingmin Cheng

“…Conclusions NLR at 3 days after admission might be a new, accurate, and objective inflammatory index, which had prognostic value in the clinical outcome prediction for patients with sTBI.…”
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An Australian Value Set for the EQ-5D-Y-3L by Tianxin Pan, Bram Roudijk, Nancy Devlin, Brendan Mulhern, Richard Norman

“…Two evaluation criteria were used to select the final value set: (1) coefficient significance and logical consistency; (2) prediction accuracy of the mean observed cTTO values. …”
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Control of Electric Drive with Predicting Model by N. N. Micheev, E. P. Ratkevich

“…The proposed predicting model permits to exclude immediate rapid time calculations of a control value.…”
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Alternative data for restaurant bankruptcy prediction by Pascal Kündig

“…Restaurant consumer review data contains rich information and influences future restaurant demand. We investigate the value of publicly available data for predicting bankruptcies of individual restaurants. …”
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Prediction and data curation in digital humanitarianism by Gianluca Iazzolino, Nimesh Dhungana

“…Our findings highlight three key challenges that characterise the relationships among these groups: the fragmentation of the humanitarian data value chain; the asymmetries in expertise and skills among the diverse professionals involved in dataset curation; and the integration of small and big data in crisis analysis and prediction. …”
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Development and Validation of a Novel PPAR Signaling Pathway-Related Predictive Model to Predict Prognosis in Breast Cancer by Yingkun Xu, Dan Shu, Meiying Shen, Qiulin Wu, Yang Peng, Li Liu, Zhenrong Tang, Shun Gao, Yuan Wang, Shengchun Liu

“…Finally, to gain insight into the predictive value and protein expression of these risk model genes in breast cancer, we used GEO and HPA databases for validation. …”
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Improving appendix cancer prediction with SHAP-based feature engineering for machine learning models: a prediction study by Ji Yoon Kim

“…Methods Data from the Kaggle Appendix Cancer Prediction dataset (260,000 samples, 21 features) were used in this prediction study conducted from January through March 2025, in accordance with TRIPOD-AI guidelines. …”
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The clinical applied value of acute cardiorenal syndrome early warning scoring system by LI Li, LI Yongxia, CHEN Wen-li

“…Objective To discuss the clinically applied value of acute cardiorenal syndrome warning scoring system.Methods A retrospective analysis was performed on clinical data of 353 patients who hospitalized to Cardiology Department of our hospital from January 2014 to January 2015 due to acute heart failure.Two types of cardiorenal syndrome(CRS) early warning scoring system were used to assess the risk of acute kidney injury,which was compared with the actual incidence.The mortality of patients with or without CRS was compared during hospitalization period.Results In Forman and other early warning scoring systems,181 cases scored 3 points,accounting for 51.3%.The incidence of CRS in the patients with 4 points or more was highest(59 cases,57.6%).Though there were some differences between the predictive CRS incidence and the actual CRS incidence,the overall trend was the higher the scores,the higher the incidence,which was in line with the clinical practice.With the score increased,the actual incidence of CRS was.O,13.33%,17.02%,47.51%,and 57.6%.The highest score group(score 4 points and above) got the highest mortality(10 cases,16.9%).The early warning scoring system by Chen Yi-pu et al assessed 4-7 points(low-risk) had the highest percentage(39.4%).The patients with 16 points or more had the highest occurrence of CRS(25 cases,86.2%).Though there were some differences between the predictive CRS incidence and the actual CRS incidence,the overall trend was the higher the score,the higher the incidence,which was in line with the clinical practice.With the score increased,the actual incidence of CRS was 11.4,26.6%,35.5%,68.4%,and 86.2%.The highest score group(score 16 points and above) obtained the highest mortality(5 cases,17.2%).Although both scoring systems had some differences between the predictive CRS incidence and the actual CRS incidence,the overall trend was the higher the score,the higher the incidence,which was in line with the clinical practice.CRS occurred in 138 cases out of353 cases(39.1%).There were 27 deaths with mortality of 7.65%.In 138 cases of CRS,there were22 deaths with the mortality of 15.9%,and in the remaining 215 cases,there were 5 deaths with mortality of 2.3%(P<0.05).Conclusions The overall incidence of CRS was high,and the two scoring systems can effectively screen out high-risk patients with CRS.High-risk CRS patients showed a higher mortality.It is suggested that in clinical practice we need to assess the risk of acute heart failure in patients with acute kidney injury as early as possible,so as to take early intervention to reduce mortality.…”
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Diagnostic Value of Faecal M2PK and FIT in Colorectal Cancer Screening by Farahnaz Joukar, Mohammad Saghafi, Sara Yeganeh, Soheil Hassanipour, Fariborz Mansour-Ghanaei

“…The sensitivity, specificity, positive and negative predictive values of M2PK were 72.6%, 87.18%, 82.1%, and 79.7%, respectively. …”
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CLINICAL DIAGNOSTIC VALUE OF OBSCURE ELECTROENCEPHALOGRAPHIC PATTERN "BROAD SHARP WAVE" IN CHILDREN by I. G. Kovalev, I. L. Stepanishhev, V. P. Zykov, T. A. Voronina

“…Thus, the pattern stitch is likely to play a predictive value for the detection of epilepsy, as an indicator of acute and / or remote brain damage. …”
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Diagnostic and Predictive Markers of Acute Lung Injury in Severe Concomitant Trauma by Ye. A. Kameneva, Ye. V. Grigoryev, G. A. Li, G. V. Vavin, A. S. Razumov

“…Objective: to define the diagnostic and predictive value of the markers of fat embolism as a cause of acute lung injury (ALI) in severe concomitant trauma. …”
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Diagnostic value of HMGB-1 and acetylcholinesterase in assessing the prognosis of patients with acute pancreatitis by Peng Guofei, Chen Wanfang, Li Yan, Zhang Danping

“…Finally, a 6-month prognostic follow-up was performed to analyse the predictive value of HMGB-1 and AChE for poor prognosis in AP using ROC curves. …”
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A meta-analysis on the predictive role of CRP in NEC diagnosis and prognosis by Huanhuan Cheng, Jing Yu, Liying Dai

“…Conclusion CRP has significant clinical value in predicting the occurrence of NEC, disease progression, and the timing of surgical intervention.…”
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Value of Contrast-Enhanced Ultrasound in Adjusting the Classification of Chinese-TIRADS 4 Nodules by Hong Cheng, Shuang-Shuang Zhuo, Xin Rong, Ting-Yue Qi, Hong-Guang Sun, Xiao Xiao, Wen Zhang, Hai-Yan Cao, Lin-Hai Zhu, Lei Wang

“…The sensitivity, specificity, accuracy, and positive and negative predictive values of the C-TIRADS classification for the diagnosis of thyroid nodule malignancy before the adjustment based on the CEUS results were 83.6%, 63.8%, 74.4%, 72.7%, and 77.1%, respectively, and these values were 91.0%, 82.8%, 87.2%, 85.9%, and 88.9%, respectively, after the adjustment. …”
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A meta-analysis of the prognostic value of the TyG index in heart failure by Yuqin Cai, Meijie Yang, Shuting Ma, Jinyun Zhang, Bin Huang, Baili Yu

“…This study was aimed at assessing the prognostic value of the TyG index in HF patients by a meta-analysis, thereby providing clinicians with a new predictive tool.MethodsPubMed, Cochrane, EMBASE, and Web of Science were searched for studies (from inception to March 2025) on the association of the TyG index with the prognosis of HF. …”
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Development of a predictive model for metachronous liver metastasis in gastric cancer by Siyuan Wang, Siyuan Wang, Gaozan Zheng, Fengsu Wu, Ye Tian, Xinyu Qiao, Xinyu Dou, Hanjun Dan, Hanjun Dan, Guangming Ren, Liaoran Niu, Pengfei Wang, Lili Duan, Yumao Yang, Jianyong Zheng, Fan Feng

“…Moreover, the nomogram demonstrated excellent calibration and significant clinical utility.ConclusionThis study successfully developed a predictive nomogram for MLM in gastric cancer. Besides conventional parameters, we identified and incorporated peripheral blood monocyte and lymphocyte counts as novel predictors, demonstrating their independent predictive value. …”
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Clinical value of the renal pathologic scoring system in complement-mediated thrombotic microangiopathy by Fei-Fei Chen, Xiao-Juan Yu, Hui Wang, Xu Zhang, Ying Tan, Zhen Qu, Su-Xia Wang, Feng Yu, Min Chen, Ming-Hui Zhao

“…Objectives This study was initiated to establish a renal thrombotic microangiopathy (TMA) scoring system based on clinical needs and investigate its predictive value for patients’ long-term outcomes.Methods Kidney biopsy-proven Complement-mediated TMA (C-TMA) patients from January 2000 to December 2017 in Peking University First Hospital were retrospectively studied. …”
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Predictive models for chemotherapy-induced oral mucositis: a systematic review by Yan Tao, Xiang Zeng, Hua Mao

“…ObjectiveTo critically appraise and synthesise existing risk prediction models for chemotherapy-induced oral mucositis (CIOM) in cancer patients, identifying their methodological strengths, limitations, and clinical utility to guide future model refinement.MethodsRelevant literature on CIOM risk prediction models published in PubMed, Cochrane Library, Embase, Web of Science, CNKI, Wanfang Data Knowledge Service Platform, VIP, and CBM was searched, covering the period from the inception of the databases to May 9, 2025. …”
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An integrated method of selecting environmental covariates for predictive soil depth mapping by Yuan-yuan LU, Feng LIU, Yu-guo ZHAO, Xiao-dong SONG, Gan-lin ZHANG

“…Environmental covariates are the basis of predictive soil mapping. Their selection determines the performance of soil mapping to a great extent, especially in cases where the number of soil samples is limited but soil spatial heterogeneity is high. …”
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Galectin-3 in recipients with kidney graft dysfunction: analysis of predictive significance by D. A. Velikiy, S. O. Sharapchenko, O. E. Gichkun, E. S. Stolyarevich, D. A. Saydulaev, M. A. Osoblivaya, A. A. Mamedova, O. P. Shevchenko

“…It is presumed that it may be involved in regulatory processes in both physiological and pathological conditions; Gal-3 is of particular importance in diseases associated with chronic inflammation and fibrosis.Objective: to assess the predictive significance of Gal-3, determined in the recipients’ serum, in the pathology of a transplanted kidney.Materials and methods. …”
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