On evaluating MHC-II binding peptide prediction methods. by Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar

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Toward more realistic career path prediction: evaluation and methods by Elena Senger, Elena Senger, Yuri Campbell, Rob van der Goot, Barbara Plank

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Comparative evaluation of feature reduction methods for drug response prediction by Farzaneh Firoozbakht, Behnam Yousefi, Olga Tsoy, Jan Baumbach, Benno Schwikowski

“…Our analysis employs six distinct machine learning models, with a total of more than 6,000 runs to ensure a robust evaluation. Our findings indicate that transcription factor activities outperform other methods in predicting drug responses, effectively distinguishing between sensitive and resistant tumors for seven of the 20 drugs evaluated.…”
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Evaluating Imputation Methods to Improve Prediction Accuracy for an HIV Study in Uganda by Nadia B. Mendoza, Chii-Dean Lin, Susan M. Kiene, Nicolas A. Menzies, Rhoda K. Wanyenze, Katherine A. Schmarje, Rose Naigino, Michael Ediau, Seth C. Kalichman, Barbara A. Bailey

“…Imputation methods <i>amelia</i>, <i>hmisc</i>, <i>mice</i> and <i>missForest</i> were evaluated. …”
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Evaluating statistical methods to predict indoor black carbon in an urban birth cohort by Sherry WeMott, Grace Kuiper, Sheena E. Martenies, Matthew D. Koslovsky, William B. Allshouse, John L. Adgate, Anne P. Starling, Dana Dabelea, Sheryl Magzamen

“…However, people spend 90 % of their time indoors, with 70 % of that time spent at home, which may result in misclassification of air pollution exposure when using data reflecting ambient concentrations. In this study, we evaluated methods to predict residential indoor black carbon (BC) from outdoor BC, PM2.5, and housing characteristics to support future efforts in estimating personal air pollution exposure. …”
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A novel method for evaluation of the maintenance impact in the health of industrial components by F. Javier Bellido-Lopez, Miguel A. Sanz-Bobi, Antonio Muñoz, Daniel Gonzalez-Calvo, Tomas Alvarez-Tejedor

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Comparative evaluation of lethal outcome prediction methods in severely burned patients by O. O. Zavorotniy, E. V. Zinoviev, V. G. Volkov, D. V. Kostyakov, D. H. Halipaeva, A. V. Semiglazov, T. Z. Gogohiya

“…Despite the ease of use and the maximum prevalence of existing models, the assessment of the outcome in each of them is questionable, since the emphasis in different indices is on different indicators, avoiding the overall clinical picture of the disease.Objective: Comparative analysis of the effectiveness of methods for predicting a lethal outcome in patients with extensive skin burns.Material and мethods: Calculated characteristics of known in the literature and widely used Baux rules, Frank index, probit analysis and a new method of logistic regression were obtained and applied to evaluate the results of treatment of 282 adult patients with extensive skin burns, hospitalized in the Department of Anesthesiology and Intensive Care of the Thermal Injuries Unit, Saint-Petersburg I. …”
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Evaluation of Data Mining and Artificial Intelligence Methods to Predict Daily Precipitation by Yaseen Ahmed Hamaamin

“…The results of the ANN and ANFIS testing methods were 0.55 and 0.62, respectively. Outcomes of the study showed that the ANN model may have overfitted the results in the calibration section of the process compared to the ANFIS method, which performed better in the testing section of the evaluation process. …”
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Software refactoring prediction evaluation method based on deep learning models by Yichi ZHANG, Yang ZHANG, Yanlei LI, Kun ZHENG, Wei LIU

“…Aiming at the lack of research on the performance of deep learning models in predicting software refactoring in the current field, a deep learning-based software refactoring prediction evaluation method was proposed to assess the refactoring predictive performance of these models. …”
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Evaluation of the PANS method for the prediction of the fluid flow in a cyclone separator by Bitar, Zaher, Uystepruyst, David, Beaubert, François, Méresse, Damien, Morin, Céline

“…The sensitivity of the PANS approach to the unresolved to total kinetic energy ratio $f_{k}$ was also evaluated with two different definitions. The first one was the standard definition developed by Girimaji et al. [1] and the second one was based on a statistical equivalence between the DES and PITM. …”
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Evaluating predictive models for hemorrhagic transformation post-mechanical thrombectomy in acute ischemic stroke by Jiaxuan Wang, Jiaxuan Wang, Jianyou You, Hui Yang, Hui Yang, Zhongbin Xia, Xiangbin Wu, Moxin Wu, Moxin Wu, Xiaoping Yin, Xiaoping Yin, Zhiying Chen, Zhiying Chen

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Performance evaluation of extreme value prediction methods for bridge traffic load effects by Miaomiao Xu, Xiao-Yi Zhou, Jie Shen, Deliang Ding, Sugong Cao, C. S. Cai

“…The analysis is then extended to more realistic scenarios, where long-run simulations provide benchmark results for evaluating the accuracy of each method. Based on the findings, recommendations are provided for selecting the most suitable prediction method, considering factors such as sample size, time interval, and the type of load effect. …”
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Methods and Evaluation of AI-Based Meteorological Models for Zenith Tropospheric Delay Prediction by Si Xiong, Jiamu Mei, Xinchuang Xu, Ziyu Shen, Liangke Huang

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Prediction and evaluation method for development effect of shale oil storage volume fracturing by XU Ning, CHEN Zhewei, XU Wanchen, WANG Ling, CUI Xiaolei, JIANG Meizhong, ZHAN Changwu

“…By controlling the average rate of discharge and production within the range of 6~8 m3/（d·km）, which aligns with the rates of oil drainage and imbibition, higher oil recovery and a lower liquid-to-oil ratio are achieved. This prediction method for maximum recoverable oil post-single well fracturing provides a basis for the economic benefit evaluation, production system optimization, and fracturing cost control of energy storage fracturing. …”
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Evaluating AI Methods for Pulse Oximetry: Performance, Clinical Accuracy, and Comprehensive Bias Analysis by Ana María Cabanas, Nicolás Sáez, Patricio O. Collao-Caiconte, Pilar Martín-Escudero, Josué Pagán, Elena Jiménez-Herranz, José L. Ayala

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Comparative Analysis of Methods of Evaluating Human Fatigue by Marco Túlio de Mello, Renato de Carvalho Guerreiro, Rodrigo Santarelli, Valdênio Martins Brant, Amaury Tavares Barreto, Flavia Rodrigues da Silva, Andressa Silva

“…The risk analysis by FAST showed a strong influence of the circadian factor. In conclusion, each method has positive and negative points, and it is up to the evaluator/manager to identify the method that best suits the purpose of the evaluation, as well as the local culture and conditions. …”
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Comparative evaluation of predictable and unpredictable environments as backgrounds for selection to adaptive ability by В. М. Стариченко

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A Comparative Evaluation of Machine Learning Methods for Predicting Student Outcomes in Coding Courses by Zakaria Soufiane Hafdi, Said El Kafhali

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Evaluation of machine learning methods for prediction of heart failure mortality and readmission: meta-analysis by Hamed Hajishah, Danial Kazemi, Ehsan Safaee, Mohammad Javad Amini, Maral Peisepar, Mohammad Mahdi Tanhapour, Arian Tavasol

“…The PROBAST tool was used to assess bias risk, evaluating models based on participants, predictors, outcomes, and statistical analysis. …”
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Efficiency and Reliability of Broiler Weighing Methods in Commercial Environments: A Comparative Evaluation by Isis Mariana Dombrowsky Leal Pasian, Robson Mateus Freitas Silveira, Jessica Nacarato Reple, Hilton Tadeu Zarate Couto, Iran José Oliveira da Silva

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