Predictive Methods for Thrombus Formation in the Treatment of Aortic Dissection and Cerebral Aneurysms: A Comprehensive Review by Kenji Komiya, Shuta Imada, Yoshihiro Ujihara, Shukei Sugita, Masanori Nakamura

“…We also found that the predictive methods can be classified into two categories: those based on the hemodynamic evaluation parameters and those based on hemodynamic and mathematical models that simulate the transport and reaction of blood components. …”
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Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance by Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchis, Antonio José Serrano-López

“…Three anomaly detection methods were evaluated: One-Class Support Vector Machine (OCSVM), Minimum Covariance Determinant (MCD), and a majority (hard) voting ensemble of the two. …”
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Research on the predictive performance of using ROC curve to evaluate axial length for myopia in children and adolescents by Cui Mingming, Zhu Zhongxin, Gao Yuting, Zong Xinnan, Li Shaoli, Liu Junting, Chen Fangfang, Yang Zhou, Yin Tao, Lyu Yanyu, Zhang Hao

“…Method Visual acuity examination, refractive screening and ocular axis examination of 2388 children aged 7–18 (4776 eyes) from 8 schools in a certain area of Beijing were used as the data source, we evaluated the predictive ability of AL for myopia in children using Receiver Operating Characteristic (ROC) curves, and constructed Logistic Regression to analyze the reference value of AL threshold for children of different age and sex groups. …”
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Evaluating Label Encoding and Preprocessing Techniques for Breast Cancer Prediction Using Machine Learning Algorithms by Mukesh Kumar, Vivek Bhardwaj

“…The results show that out of all the ML techniques tested, the k-NN method gives the most accurate predictions, which is close to 94.00%.…”
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Evaluation of Artificial Neural Network Model for Predicting Nitrogen Oxides (NOₓ) Concentration by Muhammad Farrih Mahabbataka Arsyada, Raras Tyasnurita

“…One of the methods used for predicting air pollution data, such as NOₓ, is artificial neural networks (ANN). …”
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Evaluation of diagnostic methods for detection of trichomoniasis in symptomatic women with vaginal discharge by Gargee Mishra, Kavita Gupta, Srujana Mohanty, Subarna Mitra, Arvind Kumar Singh

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Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations by Vjekoslav Tadić, Dorijan Radočaj, Mladen Jurišić

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ECONOMETRIC METHODS IN FORECAST EVALUATION OF THE DEVELOPMENT STRATEGY OF A MANUFACTURING SYSTEM by A. N. Mardas, O. A. Gulyaeva

“…The article is devoted to the problem of predictive evaluation of the development strategy efficiency of a manufacturing system under non-stationary conditions. …”
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Comparative Study on Performance Evaluation of Eager versus Lazy Learning Methods by Selvi Lukman, Jimmy Loekito, Pin Panji Yapinus

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Evaluating the Effectiveness of Dimensionality Reduction on Machine Learning Algorithms in Time Series Forecasting by Rida Zaheer, Muhammad Kashif Hanif, Muhammad Umer Sarwar, Ramzan Talib

“…The effectiveness of different dimensionality reduction methods is evaluated based on their ability to simplify data while preserving essential features. …”
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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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Analysis to Predict the Number of New Students At UNU Pasuruan using Arima Method by Fachri Ayudi Fitrony, Laksmita Dewi Supraba, Tessa Rantung, I Made Artha Agastya, Kusrini Kusrini

“…This study aims to evaluate the historical pattern of new student admissions at UNU Pasuruan and predict the number of new students in the coming years using the ARIMA (Auto Regressive Integrated Moving Average) method. …”
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An evaluation methodology for machine learning-based tandem mass spectra similarity prediction by Michael Strobel, Alberto Gil-de-la-Fuente, Mohammad Reza Zare Shahneh, Yasin El Abiead, Roman Bushuiev, Anton Bushuiev, Tomáš Pluskal, Mingxun Wang

“…Machine learning (ML) approaches have emerged as a promising technique to predict structural similarity from MS/MS that may surpass the current state-of-the-art algorithmic methods. …”
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Economic Evaluation of the Investment in Sensor Equipment Based on Data Valuation in Prediction Model by Jeong-Gi Lee, Deok-Joo Lee

“…Traditional approaches primarily address this problem from a performance-oriented perspective, focusing on metrics like prediction or estimation accuracy. However, these methods often overlook the economic value that sensors can contribute. …”
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Evaluation of mathematical models for predicting medicine distribution into breastmilk - considering biological heterogeneity by Sumin Heo, Sumin Heo, Andrew S. Butler, Marina Stamouli Simoncioni, Sam Moult, Maria Malamatari, Essam Kerwash, Susan Cole

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Hospital-wide, dynamic, individualized prediction of central line-associated bloodstream infections-development and temporal evaluation of six prediction models by Elena Albu, Shan Gao, Pieter Stijnen, Frank E. Rademakers, Christel Janssens, Veerle Cossey, Yves Debaveye, Laure Wynants, Ben Van Calster

“…Aim To develop and temporally evaluate dynamic prediction models for continuous CLABSI risk monitoring. …”
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Prediction of 1-year post-operative mortality in elderly patients with fragility hip fractures in China: evaluation of risk prediction models by Qiyuan Lu, Mengmeng Chen, Houfu Ling

“…This investigation conducts a comparative evaluation of seven prognostic models—the Sernbo Score, Jiang et al. model, Nottingham Hip Fracture Score (NHFS), Holt et al. algorithm, HEMA, ASAgeCoGeCC Score, and SHiPS—HiPSe, and SHire, and SHim, HEMA, ham Hip Fracture Score (mortality risk prediction in elderly fragility hip fracture patientsMethodsIn this retrospective cohort analysis, all consecutive patients aged isk prediction in elderly fragility hip fracture between January 2018 and October 2022 were enrolled. …”
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Feasibility of predicting firearm type in firearm suicide deaths for better policy evaluation by Emma L. Gause, Alice M. Ellyson, Ali Rowhani-Rahbar

“…Methods An 80% training set of NDVRS data (2005–2018; 40 states and D.C.) was fit to candidate models (logistic regression, C5, and random forest) to predict long gun vs. handgun use in firearm suicide deaths. …”
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Angiopoietin-like4 can be used to evaluate and predict efficacy for membranous nephropathy by WANG Jian, NING Li, WANG Run-xiu, CAO Feng

“…Objective To investigate the feasibility of serum and urine angiopoietin-like 4(Angptl4) for evaluating and predicting efficacy for membranous nephropathy. …”
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Machine learning prediction of ammonia nitrogen adsorption on biochar with model evaluation and optimization by Chong Liu, Paramasivan Balasubramanian, Jingxian An, Fayong Li

“…Twelve ML models, including tree-based ensembles, kernel-based methods, and deep learning, were evaluated using Bayesian optimization and cross-validation. …”
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