Diagnostic Effectiveness of Transforming Growth Factor Beta 1 in Assessing the Risk of Developing Graft Dysfunction in Liver Recipient Children by R. M. Kurabekova, O. M. Tsiroulnikova, I. E. Pashkova, A. G. Olefirenko, O. E. Gichkun, L. V. Makarova, R. A. Monakhov, P. O. Shevchenko

“…The accuracy of the method, the positive predictive value and the negative predictive value of the results were 78, 83 and 77 %, respectively. …”
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Development and validation of a clinical-friendly model for predicting 180-day mortality in the older with community-acquired pneumonia by Bingxuan Weng, Lixue Huang, Wenshu Jiao, Yuanqi Wang, Mengyuan Wang, Xuefeng Zhong, Xunliang Tong, Jin Jin, Yanming Li

“…The performance of model in predicting both short- and long-term mortality was compared with CURB-65 using AUC, sensitivity, specificity, negative predictive value and positive predictive value. Results A total of 619 patients, with a median age of 78 years (IQR: 70.5–85.0), were included in the analysis. …”
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Serum sFlt-1/PlGF ratio combined with ANXA2 correlates with adverse pregnancy outcomes in women with suspected preeclampsia by YaNuan Chen, LiYing Huang, JingWen Zhang, Ning Guo

“…The combination of the two indicators had a high predictive value for adverse pregnancy outcomes in women with suspected PE (AUC 0.858, 95CI% 0.785–0.931).Conclusion An sFlt-1/PlGF ratio ≥ 85 combined with circulating ANXA2 < 6.13 ng/mL accurately identifies those at high risk for PE-related adverse outcomes, and its early warning efficacy is significantly superior to current single-biomarker strategies. …”
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Application of continuous renal replacement therapy (CRRT) in patients with severe acute pancreatitis: an analytical study by Yiru Weng, Zhouzhou Dong, Gongjie Ye, Linhui Shi, Panpan Liu, Tingting Zhou, Honghua Ye

“…Using logistic regression, we identified CRRT failure predictors, evaluated their predictive value via ROC analysis, and developed/validated a nomogram prediction model. …”
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Association between relative fat mass and risk of gallstones in adults by Jianjun Wang, Wei He, Ruizi Shi, Yu Huang, Chuan Qin, Xi Chen, Xintao Zeng, Yongwei Huang, Decai Wang

“…The results of the ROC curves suggested that the predictive value of RFM for GS prevalence was superior to that of BMI. …”
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Avoidant restrictive food intake disorder (ARFID) in Swedish preschool children: a screening study by Lisa Dinkler, Katarzyna Brimo, Helena Holmäng, Kahoko Yasumitsu-Lovell, Ralf Kuja-Halkola, Anne-Katrin Kantzer, Zerina Omanovic, Narufumi Suganuma, Masamitsu Eitoku, Mikiya Fujieda, Elisabeth Fernell, Per Möllborg, Rachel Bryant-Waugh, Christopher Gillberg, Maria Råstam

“…Results Of the 42 children (6.5%) who screened positive for ARFID, 29 were followed up via diagnostic interview, and 21 received an ARFID diagnosis, yielding a positive predictive value of 72%. Negative predictive value, sensitivity, specificity, and overall accuracy of the ARFID-Brief Screener were 94%, 91%, 79%, and 84%, respectively. …”
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Diagnostic performance of ultrasound S-Detect technology in evaluating BI-RADS-4 breast nodules ≤ 20 mm and > 20 mm by Boyuan Xing, Chen Gu, Chenghui Fu, Bingyi Zhang, Yandi Tan

“…Using pathology results as the gold standard, we applied receiver operator characteristics (ROC), sensitivity (SE), specificity (SP), accuracy (ACC), positive predictive value (PPV), and negative predictive value (NPV) to analyze the diagnostic value of BI-RADS, S-Detect, and the two techniques in combination (Co-Detect) in the diagnosis of BI-RADS 4 breast nodules ≤ 20 mm and > 20 mm. …”
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Development and validation of the VAE-NT index: a novel biomechanical parameter for distinguishing subclinical corneal abnormalities by Lanting Yang, Lanting Yang, Lanting Yang, Hui Xu, Hui Xu, Honghu Jiang, Jingyin Zhu, Shihao Chen, Shihao Chen

“…The validity, reliability, and predictive value of the index were further assessed using the validation dataset. …”
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Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study by Jingchao Lei, Jia Zhai, Yao Zhang, Jing Qi, Chuanzheng Sun

“…Model performance was evaluated using accuracy, balanced accuracy, Brier score, detection prevalence, F1-score, Jaccard index, κ coefficient, Matthews correlation coefficient, negative predictive value, positive predictive value, precision, recall, area under the receiver operating characteristic curve (ROC-AUC), precision-recall AUC, and decision curve analysis. …”
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Model-output-based federated Bayesian optimization by Lin Yang, Qiqi Liu, Zhigang Zhao, Yunhe Wang, Junhua Gu

“…In this work, we propose an innovative FBO method that suggests transmitting the predicted values of surrogate models between the agent and the server and aggregating the weighted model output based on the similarity of the agent to address privacy concerns. …”
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Clinical and Fundamental Research Progressions on Tumor-Infiltrating Lymphocytes Therapy in Cancer by Jiandong Hu, Mengli Jin, Weihong Feng, Barbara Nassif-Rausseo, Alexandre Reuben, Chunhua Ma, Gregory Lizee, Fenge Li

“…This review aims to explore recent advancements in the understanding of TILs biology, their prognostic implications, and their predictive value in therapeutic contexts.…”
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Unusual Radiographic Presentation of Pneumocystis Pneumonia in a Patient with AIDS by Brian L. Block, Tejas Mehta, Gabriel M. Ortiz, Sean P. Ferris, Thienkhai H. Vu, Laurence Huang, Adithya Cattamanchi

“…The absence of ground glass opacities on chest CT is thought to have a high negative predictive value for PCP in individuals with AIDS. Here, we report a case of PCP in a man with AIDS who presented to our hospital with subacute shortness of breath and a nonproductive cough. …”
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Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers by Yulong Zhao, Ying Gao, Ke Zhang, Yao Zhang, Mingce Yu

“…The order of importance of the factors affecting the high-temperature performance of asphalt mixture is the gradation of asphalt mixture, asphalt-aggregate ratio, and molding temperature. Overall, the predicted values of the rut depth of the wheel-tracking test are very close to the measured values. …”
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In Search of an Accurate Evaluation of Intrahepatic Cholestasis of Pregnancy by Manuela Martinefski, Mario Contin, Silvia Lucangioli, Maria Beatriz Di Carlo, Valeria Tripodi

“…Serum bile acid profiles were evaluated using capillary electrophoresis in 38 healthy pregnant women and 32 ICP patients and it was calculated the sensitivity, specificity, accuracy, predictive values and the relationships of certain individual bile acids in pregnant women in order to replace TSBA determinations. …”
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The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin by Jiatong Xie, Qirong Qin, Cunhui Fan, Dongfeng Hu, Hu Li

“…Compared the fracture density predictive value and the observed value of 15 wells, all wells relative error less than 25%. …”
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Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods by Shakti P. Padhy, Soumya R. Mishra, Li Ping Tan, Karl P. Davidson, Xuesong Xu, Varun Chaudhary, R.V. Ramanujan

“…The results show that the experimental property values of arc melted samples deviated less than 14% from predicted values. This work further explains how structural variations across synthesis methods impact property behavior, validating the robustness of ML-predicted compositions and highlighting a pathway for integrating processing conditions into alloy development.…”
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Determination Method of the Active Mg Content in the Melt of Ductile Iron by XU Zhen-yu, LI Da-yong, MA Xu-liang, WANG Li-hua

“…Within the scope of the Mg content of 0. 025% ～ 0. 06% ，the predicted value Mg% of magnesium content is correlated with corresponding thermal analysis solidification characteristic parameters significantly，so the calculated results are reliable. …”
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Robust personalized pricing under uncertainty of purchase probabilities by Shunnosuke Ikeda, Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano

“…While it is essential for personalized pricing to predict the purchase probabilities for each consumer, these predicted values are inherently subject to unavoidable prediction errors that can negatively impact the realized revenues and profits. …”
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Stratified Multisource Optical Coherence Tomography Integration and Cross-Pathology Validation Framework for Automated Retinal Diagnostics by Michael Sher, Riah Sharma, David Remyes, Daniel Nasef, Demarcus Nasef, Milan Toma

“…Clinical utility metrics prioritized alignment with ophthalmological imperatives, emphasizing negative predictive value to minimize false negatives and enhance diagnostic reliability. …”
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Association of Blood Donor-derived Cell-free DNA Levels With Banff Scores and Histopathological Lesions in Kidney Allograft Biopsies: Results From an Observational Study by Aylin Akifova, MD, Klemens Budde, MD, Mira Choi, MD, Kerstin Amann, MD, Maike Buettner-Herold, MD, Michael Oellerich, MD, Julia Beck, PhD, Kirsten Bornemann-Kolatzki, PhD, Ekkehard Schütz, PhD, Friederike Bachmann, MD, Fabian Halleck, MD, Eva V. Schrezenmeier, MD, Evelyn Seelow, MD, Bianca Zukunft, MD, Charlotte Hammett, MD, Nathan A. Pohl, Benedetta Mordà, MD, Jan Kowald, MD, Nils Lachmann, Diana Stauch, Bilgin Osmanodja, MD

“…In the receiver operating characteristic analysis, absolute dd-cfDNA showed best discrimination for MVI of any cause (area under the curve [AUC] 0.88, sensitivity 0.71, specificity 0.86, positive predictive value [PPV] 0.76, negative predictive value [NPV] 0.82), followed by antibody-mediated rejection including mixed rejection (AUC 0.85, sensitivity 0.72, specificity 0.83, PPV 0.69, NPV 0.84), and overall rejection (AUC 0.83, sensitivity 0.66, specificity 0.85, PPV 0.76, NPV 0.77). …”
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