Evaluation of serum adiponectin and leptin levels in type 2 diabetic patients: The potential role in predicting metabolic syndrome by Sharabeh Hezarkhani, Khosro Ghojoghi, Sara Hosseinzadeh, Naser Behnampour, Farshid Fathabadi, Zahra Hesari, Hamid Reza Joshaghani

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Volumetric tumor segmentation according to diffusion-weighted MRI data in predicting and evaluating the response to chemotherapy in bladder cancer by E. G. Grigoriev, I. G. Frolova, E. A. Usynin, A. V. Usova, S. A. Tabakaev

“…The method of volumetric segmentation makes it possible to predict and evaluate bladder cancer response to chemotherapy with a sufficiently high accuracy. …”
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Evaluation the Ability of Standard Germination Test to Predict Emergence and Establishment of Chickpea (Cicer arietinum L.) Seedlings in Field by P. Bayat, M. Ghobadi, M.E. Ghobadi, Gh.R. Mohammadi

“…In laboratory, thirteen seed lots of chickpea belonged to seven cultivars were planted as a randomized complete design with four replications using International Seed Testing Association methods. In this test, different indices related to seed and seedling vigor were evaluated. …”
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Development and evaluation of a multivariable prediction model for clinical improvement in an established cohort of Colombian rheumatoid arthritis patients by Claudia Ibáñez-Antequera, Gabriel-Santiago Rodríguez-Vargas, Fernando Rodríguez-Florido, Pedro Rodríguez-Linares, Adriana Rojas-Villarraga, Pedro Santos-Moreno

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Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by Rahmat Rizky, Munirul ula, Zara Yunizar

“…The cryptocurrency market is highly volatile, requiring advanced analytical methods for accurate price forecasting. This study evaluates the effectiveness of Gated Recurrent Units (GRU) and Double Moving Average (DMA) in predicting USDT (Tether Coin) prices using historical data from 2017 to 2024, sourced from Investing.com. …”
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Combined evaluation of geriatric nutritional risk index and modified creatinine index for predicting functional dependence in patients on Hemodialysis by Rong Ni, Peng Qian, Ci Sun, Yusheng Xu, Kai Song, Weiwei Li

“…Logistic regression analysis was used to evaluate the risk factors and develop predictive models. …”
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Evaluation of the A2B Score for Prediction of Survival in Patients With Heart Failure in a Nationwide Cohort in Japan by Atsushi Kyodo, Yasuki Nakada, Maki Nogi, Kazutaka Nogi, Satomi Ishihara, Tomoya Ueda, Takeshi Tohyama, Nobuyuki Enzan, Tomomi Ide, Shouji Matsushima, Hiroyuki Tsutsui, Yoshihiko Saito

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Idiopathic Retroperitoneal Fibrosis-Related Hydronephrosis: Evaluation of Comprehensive Management and Prediction of Inflammatory Markers for Stent-Free Outcomes by Huang Z, Liu Y, Xiao Y, Hu H, Xu T

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An overview of methods to qualitatively and quantitatively characterize the structure of polymer-coated cardboards: Advantages and limitations by Allison Vercasson, Sébastien Gaucel, Valérie Guillard, Hélène Angellier-Coussy

“…The second part focuses on the evaluation of the thickness of each layer making up the material, which is necessary for predictive modeling and the production of just-necessary food packaging, ranging from visualization approaches to methods that rely on physical measurements. …”
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Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains by Giovanni Franzo, Alice Fusaro, Chantal J. Snoeck, Aleksandar Dodovski, Steven Van Borm, Mieke Steensels, Vasiliki Christodoulou, Iuliana Onita, Raluca Burlacu, Azucena Sánchez Sánchez, Ilya A. Chvala, Mia Kim Torchetti, Ismaila Shittu, Mayowa Olabode, Ambra Pastori, Alessia Schivo, Angela Salomoni, Silvia Maniero, Ilaria Zambon, Francesco Bonfante, Isabella Monne, Mattia Cecchinato, Alessio Bortolami

“…In response to these challenges, this study explores and compares several machine learning (ML) methods to predict the antigenic distance between NDV strains as determined by hemagglutination-inhibition (HI) assays. …”
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A Comparison of Financial Risk-Tolerance Assessment Methods in Predicting Subsequent Risk Tolerance and Future Portfolio Choices by Eun Jin Kwak, John E. Grable

“…Although less consistent, a revealed-preference test can also be used to predict risk tolerance and risk-taking behavior. Findings provide guidance for financial decision-makers and financial advisors by comparing the key features of the three primary risk-tolerance assessment methods evaluated in this study. …”
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Advances in Spectroscopic Methods for Predicting Cheddar Cheese Maturity: A Review of FT-IR, NIR, and NMR Techniques by Sanja Seratlic, Bikash Guha, Sean Moore

“…These methods are evaluated for their noninvasive and rapid on-site analysis capabilities, which are essential for ensuring quality in cheese production. …”
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Investigating the Effect of Climatic Parameters Predicting the Mortality Rate Due to Cardiovascular and Respiratory Disease with Soft Computing Methods by Hamidreza Ghazvinian, Hojat Karami

“…This study was conducted with the aim of comparing the performance of multilayer perceptron (MLP) neural network, radial basis function (RBF) and regression support vector machine (SVR) methods in modeling and predicting the time series of mortality caused by cardiovascular and respiratory diseases based on climatic parameters and pollutants. …”
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Legal Judgment Prediction using Natural Language Processing and Machine Learning Methods: A Systematic Literature Review by Nasa Zata Dina, Sri Devi Ravana, Norisma Idris

“…Furthermore, six research questions were constructed to observe the datasets, topics/trends, NLP and ML methods, evaluation methods, and challenges. The LJP topic included three topics which were charge, law article, and term-of-penalty prediction. …”
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Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan by Usman Basharat, Wenjing Zhang, Cuihong Han, Shoukat Husain Khan, Arshad Abbasi, Sehrish Mahroof, Shuxin Li

“…The aim was to establish a reliable method for predicting groundwater quality classification. …”
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Predicting Livestock Farmers’ Attitudes towards Improved Sheep Breeds in Ahar City through Data Mining Methods by Jabraeil Vahedi, Masoumeh Niazifar, Mohammad Ghahremanzadeh, Akbar Taghizadeh, Soheila Abachi, Valiollah Palangi, Maximilian Lackner

“…Comparing statistical evaluation criteria, we found that the random tree algorithm outperformed other methods in predicting and classifying livestock farmers, achieving a prediction accuracy rate of 86% for a sample of 100 farmers. …”
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Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review by Joana Seringa, João Abreu, Teresa Magalhaes

“…All included studies employed supervised ML algorithms, with ensemble-based methods generally yielding the highest predictive performance. …”
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Reporting and risk of bias of prediction models based on machine learning methods in preterm birth: A systematic review by Qiuyu Yang, Xia Fan, Xiao Cao, Weijie Hao, Jiale Lu, Jia Wei, Jinhui Tian, Min Yin, Long Ge

“…Abstract Introduction There was limited evidence on the quality of reporting and methodological quality of prediction models using machine learning methods in preterm birth. …”
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Performance Predictions of Solar-Assisted Heat Pumps: Methodological Approach and Comparison Between Various Artificial Intelligence Methods by Minghui Ma, Oguzhan Pektezel, Vincenzo Ballerini, Paolo Valdiserri, Eugenia Rossi di Schio

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New Methods for Predicting Strain Demand of Arctic Gas Pipelines across Permafrost under Frost Heave Displacement by Xinze Li, Qingbai Wu, Huijun Jin

“…The comparison results have proved their high accuracy and lower running time cost. The proposed new methods can be applied in the strain-based pipeline design and safety evaluation of pipelines in service. …”
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