The relationship between hemogram based inflammatory indices and prognosis in ectopic pregnancy cases treated with methotrexate by Ceren Bilir, Cenk Soysal, İsmail Bıyık, Özlem Ulaş, Nuh Mehmet Erbakırcı, Hatice Sarı, Yasemin Taşçı

“…NLR, MLR, PLR, and SII showed no significant predictive values. Hospitalization was longer in the surgical group (7.9 ± 5.8 days) compared to methotrexate-only cases (5.8 ± 3.9 days). β-hCG levels are reliable biomarkers for predicting rupture risk in ectopic pregnancies. …”
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Nomograms to predict the long‐time prognosis in patients with alpha‐fetoprotein negative hepatocellular carcinoma following radical resection by Jian Huang, Fu‐Chen Liu, Li Li, Wei‐Ping Zhou, Bei‐Ge Jiang, Ze‐Ya Pan

“…Calibration curves indicated a good agreement between observed actual outcomes and predicted values. Kaplan‐Meier curves and DCA indicated that nomograms were powerful in discrimination and clinical usefulness. …”
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Extraction of natural antioxidants from Moroccan saffron (Crocus sativus L.) using ultrasound-assisted extraction: An optimization approach with box-behnken design by Chaimae Slimani, Mouhcine Fadil, Chaimae Rais, Laila El-hanafi, Meryem Benjelloun, Hyeong-Moo Shin, John P. Giesy, Abderrahim Lazraq, Mahmoud M.A. Abulmeaty, Khalid M. Almutairi, Mourad A.M. Aboul-Soud

“…Results were consistent with predicted values provided by the quadratic model, which confirmed the efficacy of the Box-Behnken design in maximizing the extraction of polyphenol content from C. sativus. …”
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A Novel Nomogram for Predicting Survival in Patients with Severe Acute Pancreatitis: An Analysis Based on the Large MIMIC-III Clinical Database by Didi Han, Fengshuo Xu, Chengzhuo Li, Luming Zhang, Rui Yang, Shuai Zheng, Zichen Wang, Jun Lyu

“…Multivariate Cox regression showed that weight, sex, insurance status, explicit sepsis, SAPSII score, Elixhauser score, bilirubin, anion gap, creatinine, hematocrit, hemoglobin, RDW, SPO2, and respiratory rate were independent prognostic factors for the survival of SAP patients admitted to an intensive care unit. The predicted values were compared using C-indexes, calibration plots, integrated discrimination improvement, net reclassification improvement, and DCA. …”
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Preparation and capacitor optimization of MnO2/AC using I-optimal coordinate exchange model by Tilahun Temesgen, Eneyew Tilahun Bekele, Bedasa Abdisa Gonfa, C.R. Ravikumar, Lemma Teshome Tufa, Syed Khasim, Dereje Tsegaye, H.C. Ananda Murthy, Yilkal Dessie

“…This indicates the strong correlation between the actual and predicted values, and the proposed model is statistically significant. …”
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Optimization of the Encapsulation of Lemuru Fish Protein Hydrolysate by Spray-Drying Using Response Surface Methodology by Ayu Hanifah, Wawan Kosasih, Diah Ratnaningrum, Dian Andriani, Herlian Eriska Putra, Yellianty Yelliantty, Sri Priatni

“…The actual results also fall well within the confidence interval of the predicted values, confirming the robustness of the model and the reliability of the predicted optimal encapsulation conditions. …”
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Association between Plasmatic Ceramides Profile and AST/ALT Ratio: C14:0 Ceramide as Predictor of Hepatic Steatosis in Adolescents Independently of Obesity by Jorge Maldonado-Hernández, Gabriela E. Saldaña-Dávila, Mónica I. Piña-Aguero, Benjamín A. Núñez-García, Mardia G. López-Alarcón

“…Positive and negative predictive values were 77.5% and 90.2%, respectively. Conclusions. …”
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Comparative analysis of digital mammography and contrast-enhanced mammography in diagnosing suspicious breast calcifications: implications for surgical decision-making by Marwa Mohamed Taher Mohamed ElSayad, Maha Hussein Mohamed Helal, Omar Hussein Omar, Ahmed Gamal Eldeen Othman, Marwa Elsayed Abdelrahman Ibrahim

“…Calculated sensitivity, specificity, positive and negative predictive values and total accuracy of DM were 91.4%, 70.8%, 62.7%, 93.9%, and 78% respectively as compared to 85.7%, 90.7%, 83.3%, 92.2%, and 89% for CEM. …”
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Using statistical analysis to evaluate enterprise performance in the Python programming environment by O. G. Konyukova, F. F. Baratova

“…The presented calculations will not only allow timely and promptly react to changes in the external economic environment of activity, but also adjust costs to already predicted values, which, in turn, will help to increase the profitability of the enterprise, which is the main task of any owner.   …”
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Application of Machine Learning Models for the Early Detection of Metritis in Dairy Cows Based on Physiological, Behavioural and Milk Quality Indicators by Karina Džermeikaitė, Justina Krištolaitytė, Ramūnas Antanaitis

“…Models were evaluated based on accuracy, sensitivity, specificity, positive and negative predictive values (PPV, NPV), area under the receiver operating characteristic (ROC) area under the curve (AUC), and Matthews correlation coefficient (MCC). …”
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Establishment of a Generalizable Industrial Crop Model for Microwave Extraction of Unsaturated Fatty Acids by Junyi Chen, Didi Lu, Shiqiang Chen, Song Liu, Yaqiu Zhang, Conghong Zhan

“…The stability and accuracy of the model were verified by the orthogonal experiment of UFA extraction from rice, and the correlation coefficient between the predicted value and the actual value of the orthogonal experiment was 0.9998. …”
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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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Performance measures of the medical priority dispatch system in an urban basic life support system by Vittorio Nicoletta, Maxime Robitaille-Fortin, Valérie Bélanger, Éric Mercier, Jessica Harrisson

“…We assessed system performance using sensitivity, specificity, overtriage, undertriage, predictive values, and accuracy. Statistical analyses included chi-square tests for priority consistency and pairwise t-tests for performance changes over time. …”
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Prospects of application of artificial neural networks for forecasting of cargo transportation volume in transport systems by D. T. Yakupov, O. N. Rozhko

“…The neural network model consists of a hidden layer of neurons with a sigmoidal activation function and an output neuron with a linear activation function, the input values of the dynamic time series, and the predicted value is removed from the output. For a more objective assessment of the prospects of the ANN application, the results of the forecast are presented in comparison with the results obtained in predicting the method of exponential smoothing.Results. …”
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Global, regional, and national burden of knee osteoarthritis: findings from the Global Burden of Disease study 2021 and projections to 2045 by Yi Ouyang, Miaomiao Dai

“…Notably, the case number of these metrics were predicted to keeping increasing, with predicted values of 658,088,384.48 (322,110,040.98–994,066,727.98), 47,256,502.97 (23,440,017.7–71,072,988.23) and 20,517,479.78 (10,056,930.68–30,978,028.88), respectively. …”
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Comparative Study on Total Organic Carbon Content Logging Prediction Method Based on Machine Learning by TANG Shengshou, YANG Bin, JIN Jiulong, LIU Hongrui, DAI Xingyu, PU Jincheng

“…The analysis of the practical application effect showed that the conventional Δlog R method had poor accuracy in calculating the total organic carbon content and could not achieve the expected effect. The predicted value of the XGBoost prediction model is in the best agreement with the measured value and has the highest reliability. …”
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Prospective validation of an artificial intelligence assessment in a cohort of applicants seeking financial compensation for asbestosis (PROSBEST) by Illaa Smesseim, Kevin B. W. Groot Lipman, Stefano Trebeschi, Martijn M. Stuiver, Renaud Tissier, Jacobus A. Burgers, Cornedine J. de Gooijer

“…Secondary objectives included evaluating specificity, accuracy, predictive values, area under the curve of the receiver operating characteristic (ROC-AUC), area under the precision-recall curve (PR-AUC), and interobserver variability. …”
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Construction and validation of a prognostic prediction model for osteosarcoma in children based on the SEER database by ZHANG Lei, LI Yuwan, WU Yindan, XU Zhi, SHAO Jinfu

“…The calibration curve showed that the predicted values were highly consistent with the observed values. …”
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External validation of precisebreast, a digital prognostic test for predicting breast cancer recurrence, in an early-stage cohort from the Netherlands by Pieter J. Westenend, Claudia Meurs, Gerardo Fernandez, Marcel Prastawa, Abishek Sainath Madduri, Aaron Feliz, Juan Carlos Mejias, Alexander Shtabsky, Xiaozhu Zhang, Brandon Veremis, Rebecca DeAngel, Michael J. Donovan

“…Model performance was assessed by AUC/C-index, hazard ratios, sensitivity, specificity, and negative and positive predictive values (NPV and PPV, respectively). Results PDxBR showed prognostic accuracy in this external cohort (AUC/C-index 0.71, 95% CI: 0.66–0.75). …”
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Clinical characteristics and prognosis of primary small cell carcinoma of the breast: a propensity score-matched, population-based study by Lei Yin, Ai-Hong Yin, Chen-Chen Pu

“…The calibration curve in the ROC analysis indicated that the predicted value was consistent with the actual observation value. …”
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