Evaluation of factors predicting adherent perinephric fat in laparoscopic retroperitoenal partial nephrectomy by Samet Senel, Antonios Koudonas, Fatih Sandikci, Jens Rassweiler

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Evaluating maternal serum sortilin levels: a potential biomarker for predicting preeclampsia by Gulsan Karabay, Burak Bayraktar, Zeynep Seyhanli, Betul Tokgoz Cakir, Gizem Aktemur, Serap Topkara Sucu, Nazan Vanli Tonyali, Umut Karabay, Dilara Kurt, Ali Turhan Caglar

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Evaluation of different erosion models for predicting guide vane wear in Francis turbine by Rakish Shrestha, Rakish Shrestha, Kushal Shrestha, Kushal Shrestha, Sailesh Chitrakar, Sailesh Chitrakar, Bhola Thapa, Hari Prasad Neopane, Zhongdong Qian, Zhiwei Guo

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THE INFLUENCE OF ECOLOGICAL RISK FACTORS ON MORTALITY IN MOSCOW POPULATION. RISK EVALUATION AND PREDICTION by S. A. Boytsov, M. M. Lukyanov, A. D. Deev, V. G. Klyashtorny, A. V. Ivanenko, N. S. Volkova, A. S. Kuznetsov, A. S. Skvortsov, D. V. Solovyev

“…To assess the influence of temperature, humidity, air pollution on the mortality ofMoscowinhabitants in 2007-2014, to evaluate the possibility of mortality prediction by mathematic modelling.Material and methods. …”
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Methods to evaluate the performance of a multicomponent meningococcal serogroup B vaccine by Ray Borrow, Laura Tomasi Cont, Daniela Toneatto, Stefania Bambini, Shravani Bobde, Woo-Yun Sohn, Alessia Biolchi, Vega Masignani, Peter T. Beernink, Maria Lattanzi

“…Traditional hSBA assay against a limited panel of strains is useful at all stages, while predicted strain coverage methods, such as the meningococcal antigen typing system, are used independent of clinical trials. …”
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COMPARATIVE ESTIMATION OF SEMICONDUCTOR DICE MOUNTING ALTERNATE NONDESTRUCTIVE EVALUATION METHODS by S. S. Wolkenstein, I. V. Dayniak, A. A. Khmyl

“…Conventional method of nondestructive control - laser microinterferometry, which possibilities have been earlier expanded concerning to study “semiconductor chip - substrate” assemblies peculiarity, has given the chance to evaluate these assemblies stability to mechanical, electric and thermal loadings and to predict operational reliability of prefabricated production of electronic technics and microelectronics. …”
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Evaluation of the Rheological Properties of SCC Using Hybrid Random Forest Methods by Junsong Wang

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Evaluation of the Methods for Estimating the Fully Reversed Unnotched Fatigue Limits of Steels by Jing Li, Yuan-ying Qiu, Hai-dong Wang, Zhao-xi Wang

“…In this study, ten estimation methods are evaluated and compared using the experimental data of 171 steels from literature. …”
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The Evaluation of Effect of Jet Grout Columns to the Settlements in Soils with Numerical Methods by Eylem Arslan, Ertan Bol, Sedat Sert, Aşkın Özocak, İrem Düzen

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A Storm Frame Optimization Method for Predicting and Warning the Safety Status of a Shearer by Pei Zhang, Yanpeng He, Li Ma, Changkui Cong

“…The prediction accuracy, early warning accuracy, and processing efficiency of the Storm platform are used as evaluation indicators to analyze and evaluate the model, verifying the efficiency and applicability of the proposed model. …”
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Significance of nuclear medicine methods for diagnosis and predicting the course of renal transplantation complications by M.V. Satyr, I.V. Noverko, T.I. Pantus, M.S. Zagriichuk

“…We pay the main attention to the nuclear medicine methods, especially the dynamic renal scintigraphy (DRSG) as a method for the evaluation of graft functionality. …”
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A Comparative Study of Loan Approval Prediction Using Machine Learning Methods by Vahid Sinap

“…Loan prediction plays an important role in the process of evaluating loan applications by financial institutions. …”
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Biomarkers for predicting efficacy of chimeric antigen receptor T cell therapy and their detection methods by Bo Zou, Yanzhou Song, Ning Li, Zhongyi Fan, Jie Li, Yuanzheng Peng, Wanshan Wei, Yuzi Zhang, Yinan Su, Xianmin Meng, Hongzhou Lu, Xingding Zhang, Xiaohua Tan, Qibin Liao

“…Thus, the primary objective of this review article was to provide a comprehensive overview of the factors predicting the efficacy of CAR‐T cell therapy, with a particular focus on biomarkers and their detection methods.…”
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Explaining the Earnings Management Prediction Model Using the Hybrid of Machine Learning Methods by Hassan Hassani, Esfandiar Malekian Kallehbasti, Yahya Kamyabi

“…The performance of each machine learning method at predicting accrual-based earnings management and real earnings management was evaluated based on three criteria: type Ι error, type ΙΙ error, and average accurac.FindingThe results show that the performance of accrual-based earnings management forecasting methods based on the relief-based feature selection model is better than the feature selection model based on principal component analysis. …”
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Overview of Applications and Research Directions of Deep Learning Methods for Wind Power Prediction by LIU Tan, LIU Na, LIU Guiping, LIU Kunjie, LIU Min, ZHUANG Xufei, ZHANG Zhonghao

“…This paper outlines the research objectives of wind power prediction from the classification of wind power prediction, the general idea of implementation, and the evaluation method. …”
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Prediction of cardiovascular risk using machine-learning methods. Sex-specific differences by Sara Castel-Feced, Sara Castel-Feced, Sara Castel-Feced, Sara Castel-Feced, Isabel Aguilar-Palacio, Isabel Aguilar-Palacio, Isabel Aguilar-Palacio, Isabel Aguilar-Palacio, Sara Malo, Sara Malo, Sara Malo, Sara Malo, Juan González-García, Lina Maldonado, Lina Maldonado, Lina Maldonado, María José Rabanaque-Hernández, María José Rabanaque-Hernández, María José Rabanaque-Hernández, María José Rabanaque-Hernández

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Predicting Student Performance through Machine Learning Methods: Naive Bayesian Classifier by Chenyang Li, Qianzhi Zhou, Luming Du, Sihan Zhang

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Review of Spot Electricity Price Prediction Studies Based on Machine Learning Methods by JIA Heping, GUO Yuchen, MA Qianxin, YANG Zhenglin, ZHENG Yaxian, ZENG Dan, LIU Dunnan

“…This study then analyzed the evaluation criteria for spot electricity price prediction models based on machine learning， and summarized the model hyperparameter training requirements and the practical application of relevant prediction methods. …”
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Prediction of Poisson's ratio for a petroleum engineering application: Machine learning methods. by Fahd Saeed Alakbari, Syed Mohammad Mahmood, Mohammed Abdalla Ayoub, Muhammad Jawad Khan, Funsho Afolabi, Mysara Eissa Mohyaldinn, Ali Samer Muhsan

“…Therefore, this study developed a reliable model to predict the νs accurately using the nineteen most common learning methods. …”
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Comparing statistical learning methods for complex trait prediction from gene expression. by Noah Klimkowski Arango, Fabio Morgante

“…Genotypes have been used for trait prediction using a variety of methods such as mixed models, Bayesian methods, penalized regression methods, dimension reduction methods, and machine learning methods. …”
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