Serum Presepsin Levels among Patients with COVID-19 by Fatma Nihan Turhan Çağlar, Cennet Yildiz, Ramazan Korkusuz, Kadriye Kart Yasar, Nilgun Isıksacan

“…The present study was aimed to evaluate presepsin levels in COVID-19 patients and assess its predictive value on severity and mortality of the disease. …”
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Noninvasive diagnosis of significant liver inflammation in patients with chronic hepatitis B in the indeterminate phase by Jie Zhan, Jian Wang, Zhiyi Zhang, Ruifei Xue, Suling Jiang, Jiacheng Liu, Yilin Liu, Li Zhu, Juan Xia, Xiaomin Yan, Weimao Ding, Chuanwu Zhu, Yuanwang Qiu, Jie Li, Rui Huang, Chao Wu

“…The AGP-nomogram can accurately identify significant inflammation in CHB patients in the indeterminate phase, and its application may reduce the need for liver biopsy and help identify candidates for antiviral treatment.Abbreviations: AASLD: American Association for the Study of Liver Diseases; ALB: albumin; ALP: alkaline phosphatase; ALT: alanine aminotransferase; APRI: aspartate aminotransferase-to-platelet ratio index; AST: aspartate aminotransferase; AUROC: area under the receiver operating characteristic curve; CHB: chronic hepatitis B; CI: confidence interval; DCA: decision curve analysis; FIB-4: fibrosis index based on the four factors; GLB: globulin; GGT: γ-glutamyl transpeptidase; HBcAb: hepatitis B core antibody; HBeAg: hepatitis B e antigen; HBsAg: hepatitis B surface antigen; HBV: hepatitis B virus; HCC: hepatocellular carcinoma; HIV: human immunodeficiency virus; INR: international-normalized ratio; IQR: interquartile range; LASSO: least absolute shrinkage and selection operator; LB: liver biopsy; LR: Likelihood ratio; NAFLD: non-alcoholic fatty liver disease; NPV: negative predictive value; PLT: platelets; PPV: positive predictive value; PT: prothrombin time; ROC: receiver operating characteristic; TB: total bilirubin; TE: transient elastography; ULN: upper limit of normal.…”
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Which Is More Valuable in the Diagnosis of Pulmonary Thromboembolism? The Wells Score, the Revised Geneva Score, or the Padua Score? by Hasan Veysel Keskin, Neslihan Ozcelik, Elvan Senturk Topaloglu, Songul Ozyurt, Aziz Gumus, Unal Sahin

“…Negative predictive values increased significantly when combined with age adjusted D-dimer levels. …”
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Elevation Error Prediction of Continuous Beam Cantilever Construction Phase Based on LS-SVM by Xilong Zheng, Yunfeng Hu, Baitao Sun

“…I compare the Least Squares-Support Vector Machines (LS-SVM) prediction value with the measured value, the SVM model predictions, the BP neural network model predictions and the dimensionality reduction model predictions, so that predict elevation errors during cantilever construction phases by established models. …”
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Electrical cardiometry for early detection of hemodynamically significant patent ductus arteriosus in preterm infants by Rania A. El-Farrash, MD, Adham M. El-Tahry, MD, Mariam N. Farag, MSc, Dina M. Shinkar, MD

“…The area under the curve for CO was 0.751 and the cut-off point was ≤0.53 L/min, with sensitivity of 63.64 %, specificity of 78.57 %, positive predictive value of 70.0 %, and negative predictive value of 73.3 %. …”
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Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning studyResearch... by Shaolin Chen, Ting Deng, Qing Yang, Jin Li, Juanyan Shen, Xu Luo, Juan Tang, Xulian Zhang, Jordan Tovera Salvador, Junliang Ma

“…Predictive performance was evaluated using the area under the receiver-operating-characteristic curve (AUROC), accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F1 score. …”
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A study on the interaction of family function of parents of premature infants on home care preparation (早产儿父母家庭功能对家庭护理准备的交互作用研究) by JIANG Canhui (江灿慧), CHEN Yingfang (陈樱芳), YE Yanli (叶严丽)

“…The main effect showed that both the father and mother's family functions had a positive predictive value for their own family care preparation (β father=0. 214, β mother=0. 311, both P＜0. 05). …”
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Short-Term Photovoltaic Power Combined Prediction Based on Feature Screening and Weight Optimization by Liqing Geng, Yadong Yang, Genghuang Yang, Yongfeng Zheng, Xiaocong Liu

“…Firstly, K-means is used to cluster the photovoltaic power; Secondly, CEEMDAN is used to decompose photovoltaic power and wavelet decomposition is used to decompose irradiance, and sample entropy and K-means are used to reconstruct each component of photovoltaic power into high, intermediate, and low frequency terms; Then, Spearman’s correlation coefficient is used to calculate the correlation between each meteorological factor and the decomposed irradiance component and the high, intermediate, and low frequency terms of photovoltaic power, and the feature selection is carried out; Then, CNN-BiLSTM-Attention is used to predict the high frequency term, LSTM is used to predict the intermediate frequency and low frequency terms, and the results are superimposed to obtain the preliminary prediction value; Finally, the dung beetle algorithm is used to optimize the weights of the initial prediction values of the training set of high, intermediate, and low frequency terms, and the optimal weight is substituted into the test set to obtain the final prediction result. …”
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Prediction Method of Air Braking Force of Heavy Load Train Based on Fuzzy Logic-based Neural Network by SHI Ke, ZHANG Zhengfang, BAI Jinglei, JIANG Jie

“…Finally, according to the current data and the corresponding prediction rules, predicted value of air braking force is output. By processing the data, this method can get rid of the dependence on traditional air braking model, avoid coupling analysis between charging and discharging time and decompression process, and can get air braking force prediction value more accurately. …”
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AXIOLOGICAL PRIORITIES IN STRUCTURE OF PERSONAL-PROFESSIONAL ORIENTATION OF TEACHERS INVOLVED IN INCLUSIVE EDUCATION by Galina Yurjevna Kozlovskaya

“…The article dwells on the issues related to the development of personal-professional orientation in teachers involved in inclusive education; value components of personal-professional readiness to work with disabled people in inclusive education, as such issues are discussed in in national and international pedagogic science.…”
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Assessment of pulmonary embolism probability using a machine learning model by D. V. Gavrilov, A. E. Andreichenko, A. D. Ermak, T. Yu. Kuznetsova, A. V. Gusev

“…The following signs had the greatest prediction value: cough, respiratory disorders, blood creatinine, body temperature, general weakness, heart rate, respiratory rate, edema, antihypertensive therapy, saturation and age.Conclusion. …”
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Prediction Model for Connected Voids Ratio of the Porous Asphalt Mixture by Xiang Li, Zhaoyi He

“…Since the limitations of the composite specimens limited the prediction range, when the passing rate of 2.36 mm gradation was too small, there was a huge difference between the prediction value and the actual value. This model can predict the connected voids ratio under the stage of gradation design, thus saving the experiment time, shortening the design period, and providing some guidance to the adjustment of the raw material choosing and gradation.…”
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The Diagnostic Accuracy of Overnight Oximetry for Pediatric Obstructive Sleep Apnea: A Systematic Review and Meta-Analysis by Serena Incerti Parenti, Maria Lavinia Bartolucci, Andrea Fiordelli, Pierangelo Gigola, Corrado Paganelli, Giulio Alessandri-Bonetti

“…The positive and negative predictive values were calculated. A total of 28 studies (9122 participants) were included in qualitative analyses. …”
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Levels of DEFA1, Progranulin, and NRG4 in Patients with Autonomic Neuropathy: Potential Biomarkers for Diagnosis and Prognosis by Diana Nikolova, Zdravko Kamenov, Julieta Hristova, Antoaneta Trifonova Gateva

“…Statistical analyses included <i>t</i>-tests, Pearson’s correlations, and ROC analysis to explore associations and the predictive values of the biomarkers. Results: Progranulin levels were significantly elevated in patients with DAN compared to those without (<i>p</i> < 0.05), showing a positive correlation with diabetes duration (r = 0.375; <i>p</i> = 0.01) and a significant predictive value for DAN (AUC = 0.666; <i>p</i> = 0.013). …”
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Two sides of the coin: coagulation and inflammation in deep vein thrombosis – a prospective study on D-dimer and SIRI by Ercan Kahraman, Sirin Cetin, Meryem Cetin, Ayse Ulgen, Ayse Ulgen

“…Additionally, the combination of SIRI and D-dimer yielded high positive and negative predictive values for DVT diagnosis.…”
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Predictive accuracy of perceived baby birth size for birth weight: a cross-sectional study from the 2016 Ethiopian Demographic and Health Survey by Dabere Nigatu, Demewoz Haile, Bereket Gebremichael, Yordanos M Tiruneh

“…Level of discordance between maternally perceived birth size and birth weight including factors influencing discordance.Results Mother-reported baby birth size had low sensitivity (57%) and positive predictive value (41%) to indicate low birth weight but had high specificity (89%) and negative predictive values (94%). …”
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Culture and culture-independent diagnostic tests in Campylobacter enteritis by Nida Özcan, Fatma Bacalan, Fatih Çakır, Alican Bilden, Neslihan Genişel, Tuba Dal

“…This study aims to determine the sensitivity, specificity and positive predictive values (PPV) of culture and culture-independent tests for the diagnosis of Campylobacter enteritis. …”
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Correlation of Grayscale Ultrasound and Doppler Evaluation with Histopathological Diagnosis in Cases of Tubercular Cervical Lymphadenitis by Ranjit S. Lahel, Smriti Mathur, Amit Chail, Chandan Tiwari

“…These parameters demonstrate high sensitivity, specificity, positive predictive value, and accuracy. Hence, they can be relied upon to start timely anti-tubercular treatment and follow-up with patients on a clinical-radiological basis. …”
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A telomere-related signature for predicting prognosis and assessing immune microenvironment in osteosarcoma by Shihao Li, Lina Zhang, Haiyang Zhang

“…In addition, the telomere-related signature demonstrated predictive value for the immune microenvironment and drug sensitivity in osteosarcoma. …”
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Positive Leukocyte Esterase Dipstick Test: Association With Spontaneous Bacterial Peritonitis In Patients Suffering From Liver Cirrhosis by Sumbul Shahzadi, Fuad Ahmad Siddiqi, Imran Khan, Kanaz Ahmad Siddiqi, Javed Ahmad Khan, Ayesha Ashraf Cheema

“…Conclusions: In conclusion, it can be stated that although various studies have reported variations in the positive predictive values (PPV) and sensitivity value, the accurate calculation of negative predictive value (NPV) in the majority of studies affirms the beneficial use of leukocyte esterase test strips in healthcare settings for patients suffering from cirrhosis-related asities with spontaneous bacterial peritonitis. …”
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