Investigation of statistical methods used in prognostic prediction models for obstetric care: A 10 year‐span cross‐sectional study by Jing Tan, Chunrong Liu, Min Yang, Yiquan Xiong, Shiyao Huang, Yana Qi, Meng Chen, Lehana Thabane, Xinghui Liu, Lin He, Xin Sun

“…Ten recommendations were offered to assist the statistical methods of prognostic prediction models in obstetric care.…”
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Comparative evaluation of various cytomorphological grading systems in breast carcinoma by P Arul, Suresh Masilamani

“…Various cytological grading systems have been proposed; however, none of them is presently considered the gold standard to predict the prognosis. Aim: This study was undertaken to evaluate various 3-tier cytological grading systems and to determine the best possible system corresponds to the histological grading proposed by Elston and Ellis based on the method by Nottingham modification of Scarff-Bloom-Richardson (SBR) method. …”
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Evaluation of prognostic models to improve prediction of metastasis in patients following potentially curative treatment for primary colorectal cancer: the PROSPECT trial by Vicky Goh, Susan Mallett, Manuel Rodriguez-Justo, Victor Boulter, Rob Glynne-Jones, Saif Khan, Sarah Lessels, Dominic Patel, Davide Prezzi, Stuart Taylor, Steve Halligan

“…In addition to an external evaluation of its predictive accuracy, an evaluation should be made of the clinical utility to clinicians of the model in an NHS setting, including within neoadjuvant chemotherapy trials. …”
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Filtering Techniques To Reduce Speckle Noise And Image Quality Enhancement Methods On Porous Silicon Images Layers by Tifouti Issam, Rahmouni Salah, Meriane Brahim

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Evaluating polygenic risk score prediction performance for Alzheimer's disease in a population-based Hispanic cohort using single- and multi-ancestry modelsResearch in context by Yuexuan Xu, Min Qiao, Tamil I. Gunasekaran, Yian Gu, Dolly Reyes-Dumeyer, Angel Piriz, Danurys Sanchez, Belisa Soriano, Yahaira Franco, Zoraida Dominguez Coronado, Patricia Recio, Diones Rivera Mejia, Martin Medrano, Rafael A. Lantigua, Lawrence Honig, Jennifer J. Manly, Adam M. Brickman, Badri N. Vardarajan, Richard Mayeux

“…Methods: Prediction performance of Apolipoprotein-E (APOE), single-ancestry PRS, and multi-ancestry PRS derived from GWAS-focused and method-focused approaches to clinical AD, incident AD, and cognition and were evaluated in 2961 Hispanic people from two large studies. …”
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Evaluation of the predictive ability of ultrasound-based assessment of breast cancer using BI-RADS natural language reporting against commercial transcriptome-based tests. by Neema Jamshidii, Jason Chang, Kyle Mock, Brian Nguyen, Christine Dauphine, Michael D Kuo

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Predictive Capability Evaluation of Micrograph-Driven Deep Learning for Ti6Al4V Alloy Tensile Strength Under Varied Preprocessing Strategies by Yuqi Xiong, Wei Duan

“…This paper systematically evaluates the capability of a CNN model using preprocessed micrographs to predict Ti6Al4V alloy ultimate tensile strength (UTS), while analyzing how different preprocessing combinations influence model performance. …”
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Monte Carlo Simulation of Pesticide Toxicity for Rainbow Trout (<i>Oncorhynchus mykiss</i>) Using New Criteria of Predictive Potential by Alla P. Toropova, Andrey A. Toropov, Emilio Benfenati

“…Modeling was repeated five times to enable better statistical evaluation. To improve the predictive potential of models, the index of ideality of correlation (IIC), correlation intensity index (CII), and coefficient of conformism of correlation prediction (CCCP) were applied. …”
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An easy iris center detection method for eye gaze tracking system by Mingxin Yu, Yingzi Lin, Xiaoying Tang, Jing Xu, David Schmidt, Xiangzhou Wang, Yikang Guo

“…The evaluated result of the method on our eye database shows the global average accuracy of 94.3%. …”
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Beyond the Inner Cell Mass: Evaluating the Impact of Inner Cell Mass Visibility on Implantation Prediction in Static Blastocyst Images – A Retrospective Cohort Study by Doel Bose Pande, Hemant Deshmukh, Sandeep Kumar Verma, Gajendra Singh Tomar

“…Clinical pregnancy, confirmed by fetal cardiac activity at 7 to 8 weeks, was used as the ground truth for measuring prediction accuracy. Materials and Methods: This retrospective study analysed 300 single vitrified warmed blastocyst transfers performed at a single IVF centre between 2021 and 2024. …”
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Evaluating the value of machine learning models for predicting hematoma expansion in acute spontaneous intracerebral hemorrhage based on CT imaging features of hematomas and surrou... by Tianyu Yang, Tianyu Yang, Zhen Zhao, Yan Gu, Shengkai Yang, Yonggang Zhang, Lei Li, Ting Wang, Zhongchang Miao

“…Machine learning algorithms were applied to construct predictive models for hematoma expansion. Model performance was evaluated using receiver operating characteristic (ROC) curves and the area under the curve (AUC).ResultsEight feature parameters were extracted from the CT images. …”
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SmartPlus: a computer-based image analysis method to predict continuous-valued vascular abnormality index in Retinopathy of Prematurity by Sayed Mehran Sharafi, Nazanin Ebrahimiadib, Ramak Roohipourmoallai, Afsar Dastjani Farahani, Marjan Imani Fooladi, Golnaz Gharehbaghi, Elias Khalili Pour

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Evaluation of inflammation adjustment methods to assess iron deficiency using longitudinal data from norovirus human challenge trials. by Yi-An Ko, Parminder S Suchdev, Jiaxi Geng, Hanqi Luo, Melissa F Young, Anne M Williams

“…The BRC appeared to overcorrect ferritin in this study setting, while the CF yielded adjusted ferritin concentrations closer to the average baseline and endline concentrations and the predicted concentrations. Longitudinal studies with larger sample sizes exposed to other infectious agents are needed to further evaluate inflammation-adjustment methods and the need for including multiple inflammation biomarkers.…”
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Study on filter clogging and filtration performance evaluation of Ballast Water Management System (BWMS) using analytical and numerical methods by Gang Nam Lee, Tien Trung Duong, Sangho Park, Mansoo Kim, Kwang Hyo Jung

“…In this study, an analytical method based on Darcy’s law is devised to predict clogging occurrences and filter performance is evaluated via computational fluid dynamics (CFD) simulations. …”
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Rapid defect prediction and optimisation method for Ti-modified AlCuMg alloys processed by laser powder-bed fusion by Ziqian Wang, Yuhan Qian, Tengteng Sun, Yakai Xiao, Zijue Tang, Yi Wu, Hua Sun, Xingtian Liu, Haowei Wang, Hongze Wang

“…This hot-tearing factor could also serve as the supplementary method for evaluating the crack susceptibility of AlCuMg alloys. …”
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Evaluation of inhibitory efficacy of plantaricin JK against NSP1 from SARS-CoV-2 by in silico methods by Manisha Mandal, Shyamapada Mandal

“…This information encouraged us to evaluate the inhibitory role of plantaricin JK (Pln-JK) against SARS-CoV-2 NSP1 using in silico methods. …”
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Evaluation of Landslide Risk Using the WoE and IV Methods: A Case Study in the Zipaquirá–Pacho Road Corridor by Sandra Velazco, Álvaro Rodríguez, Martín Riascos, Fernando Nieto, Dayana Granados

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Comparative evaluation of surgical correction of corneal astigmatism by toric IOL implantation using various keratometric data and calculation methods by E.V. Boiko, S.V. Shukhaev, S.S. Kudlakhmedov, I.B. Litvin

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A review of methods and software for polygenic risk score analysis by Sara Benoumhani, Areej Al-Wabil, Niddal Imam, Bashayer Alfawaz, Amaan Zubairi, Dalal Aldossary, Mariam AlEissa

“…Polygenic risk scores (PRSs) are emerging as powerful tools for predicting individual susceptibility to various diseases and traits based on genetic variants. …”
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Systemic Immune-Inflammation Index (SII) vs. Neutrophil-to-Lymphocyte Ratio (NLR): evaluating the predictive power of SII and NLR in severity of acute ischaemic stroke based on NIH... by Arbaz Hassan, Anfal Hamza, Kiran Khan, Aiza Shafique, Faiza Naz, Rameen Riaz, Fazeel Shabbir, Muhammad Zafar Majeed Babar, Muhammad Saleem, Hafiz Haseeb Ahsan, Ghulam Mustafa, Hafiz Muhammad Usama Amjad

“…Conclusion: Our study reported notable findings in terms of predictive power of NLR and SII in evaluating stroke severity based on NIHSS score. …”
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