Prediction of Reproductive Outcomes of Intracytoplasmic Sperm Injection Cycles Using a Multivariate Scoring System by Ahmed Abuelsoud Abden, Momen Ahmed Kamel, Ahmed Nabil Fetih, Ali Haroun Yousef

“…A multivariate scoring system proposed by Younis et al., 2010, was amongst the predictive models used to evaluate IVF/ICSI success. …”
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Applying in machine learning and deep learning in finance industry: A case study on repayment prediction by Nguyễn Phát Đạt, Hồ Mai Minh Nhật, Trương Công Vinh, Lê Quang Chấn Phong, Lê Hoành Sử

“…Following methodological refinement, it becomes apparent that ensemble learning approaches, exemplified by XGB and LGBM, exhibit markedly superior predictive performance, surpassing conventional models with an accuracy rate exceeding 85%. …”
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Prediction of Load-Carrying Capacity in Steel Shear Wall with Opening Using Artificial Neural Network by E. Khalilzadeh Vahidi, M. M. Roshani

“…Multilayer perceptron (MLP) neural network was used to predict the maximum load in SPSW with opening. The predicted maximum load values using the proposed MLP model were compared with the simulated validated data. …”
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DMMR status and synchronous lesions predicts metachronous lesions after curative resection for rectal cancer by Xijie Chen, Xijie Chen, Xijie Chen, Junguo Chen, Junguo Chen, Junguo Chen, Liang Xu, Liang Xu, Dezheng Lin, Dezheng Lin, Dezheng Lin, Xiaoling Hong, Xiaoling Hong, Xiaoling Hong, Junsheng Peng, Junsheng Peng, Junsheng Peng, Xiaowen He, Xiaowen He, Xiaowen He, Jiancong Hu, Jiancong Hu, Jiancong Hu

“…We investigated the predictive factors for colorectal neoplasms during surveillance colonoscopies to identify patients who are at risk of developing metachronous neoplasms in the residual colorectum.MethodsThis was a single-center, retrospective study that included patients with diagnosis of rectal carcinoma who had undergone curative resection from October 2012 to June 2018. …”
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A Comparative Analysis of the Predictive Abilities of Economic Complexity Metrics Using International Trade Network by Hao Liao, Alexandre Vidmer

“…The complex networks approach has proven to be an effective tool to understand and predict the evolution of a wide range of complex systems. …”
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Simulation and Prediction of Ion Transport in the Reclamation of Sodic Soils with Gypsum Based on the Support Vector Machine by Jinman Wang, Zhongke Bai, Peiling Yang

“…The research results show that (1) the SVM soil solute transport model using the Matlab toolbox represents the change in Ca2+ and Na+ in the soil solution and leachate well, with a high prediction accuracy. (2) Using the SVM model to predict the spatial and temporal variations in the soil solute content is feasible and does not require a specific mathematical model. …”
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Genetic Risk Prediction for Normal-Karyotype Acute Myeloid Leukemia Using Whole-Exome Sequencing by Seong Gu Heo, Eun Pyo Hong, Ji Wan Park

“…We conducted stepwise genetic risk score (GRS) models composed of the NK-AML susceptible variants and evaluated the prediction accuracy of each GRS model by computing the area under the receiver operating characteristic curve (AUC). …”
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Prediction of Fatigue Life of a Continuous Bridge Girder Based on Vehicle Induced Stress History by V.G. Rao, S. Talukdar

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A Comprehensive Review of Dropout Prediction Methods Based on Multivariate Analysed Features of MOOC Platforms by Saad Alghamdi, Ben Soh, Alice Li

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Prédiction par modélisation phylogénétique de morphologies ancestrales du fémur chez les hominines by Hugo Hautavoine, Aurélien Mounier, Gilles Berillon

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Evaluation of Calibration Method for Field Application of UAV-Based Soil Water Content Prediction Equation by Donggeun Kim, Younghwan Son, Jaesung Park, Taejin Kim, Jihun Jeon

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Predicting nonequilibrium Green’s function dynamics and photoemission spectra via nonlinear integral operator learning by Yuanran Zhu, Jia Yin, Cian C Reeves, Chao Yang, Vojtěch Vlček

“…By using the learned operators as a surrogate model in the KBE solver, we obtain a general machine-learning scheme for predicting the dynamics of nonequilibrium Green’s functions. …”
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Finite Element Prediction on Fracture Load of Femur with Osteogenesis Imperfecta under Various Loading Conditions by Soh Bua Chai Wanna, Khairul Salleh Basaruddin, Fauziah Mat, Mohd Hanafi Mat Som, Abdul Razak Sulaiman

“…Early quantitative prediction of fracture loads due to OI tends to alert patients to avoid unnecessary situations or dangerous conditions. …”
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Elevated D-dimer on admission may predict poor prognosis in childhood influenza associated encephalopathy by Huizhen Wang, Lingkong Zeng, Xingfeng Cheng, Hui Li, Hong Zhang, Yuanmei Shi, Yong Zhang, Changjian Li

“…When D-dimer was ≥ 1.18 mg/L FEU, the occurrence of poor prognosis was predicted with sensitivity and specificity of 65.4% and 96.7%, respectively. …”
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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…Concrete made with additives like slag and fly ash has revolutionized construction by reducing carbon emissions, minimizing waste, lowering labor costs, and enhancing durability and accuracy. Predicting the compressive strength (CS) is vital for achieving optimal performance. …”
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Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Brady Metherall, Anna K. Berryman, Georgia S. Brennan

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Prediction and design optimization of mechanical properties for rubber fertilizer hose reinforced with helically wrapped nylon by Mengfan Wang, Lixin Zhang, Changxin Fu

Subjects: “…Prediction of mechanical properties…”
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Predicting nighttime black ice using atmospheric data for efficient winter road maintenance patrols by Jinhwan Jang

“…The novelty of this study lies in predicting road icing using only readily available atmospheric data, which eliminates the need for costly road weather sensors. …”
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HPGCN: A graph convolutional network-based prediction model for herbal heat/cold properties by Qikai Niu, Jing’ai Wang, Hongtao Li, Lin Tong, Haiyu Xu, Weina Zhang, Ziling Zeng, Sihong Liu, Wenjing Zong, Siqi Zhang, Siwei Tian, Huamin Zhang, Bing Li

Subjects: “…Herbal property prediction…”
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A pediatric emergency prediction model using natural language process in the pediatric emergency department by Arum Choi, Chohee Kim, Jisu Ryoo, Jangyeong Jeon, Sangyeon Cho, Dongjoon Lee, Junyeong Kim, Changhee Lee, Woori Bae

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