The Functional Characterization of Venous Thromboembolic Disease (FUVID) study: rationale, design, and methods of a prospective, observational, multicenter study to evaluate mechan... by Ayesha Zia, Michael D. Nelson, Jimin Ren, Song Zhang, Robert F. Mattrey, Brian L. Han, Tarique Hussain, Joshua S. Greer, Manal Al-Qahtani, Kendra Malone, Sonja E. Stutzman, Deseray V. Sida, Sharon Primeaux, Marcela D. Torres, Clay T. Cohen, Shelley Crary, Jonathan Bernstein, Hilary B. Whitworth, Riten Kumar, Kisha A. Beg, Osman Khan, Madhvi Rajpurkar, Kerry Hege, Beverly A. Schaefer, Gary M. Woods, Lauren E. Amos, Marisol Betensky, Rukhmi V. Bhat, Sarah O’ Brien, Julie Jaffray, Rohit Jesudas, Martha M. Pacheco, Cristina Tarango, Angela C. Weyand, Hope P. Wilson, Jessica Garcia, Mary P. Dang, Ruchika Sharma, Neil A. Goldenberg, Frederikus A. Klok, Christoph Male, Benjamin Levine, Bryce N. Balmain, Tony G. Babb, Leah M. Adix, BS, Steven Ambrusko, MD, Shames Alaesa, BSc, Kristen Bradley, BSN, RN, Brain R. Branchford, MD, Katie Carlberg, MD, James D. Cooper, MD, Susan A. Corley, MPH, Marissa Di Miero, MBA, Anna Eidenberger, Edith Freyer, DNP, Kevin Guerrero, Arun Gurunathan, MD, Brandon Hathorn, BSc, Muhammad Khan, Shawn D. Lade, BS, Deanna M. Maida, MD, Marie Martinelli, MD, Corey Mozingo, BS, Raksa Moran, RN, Sharon A. Primeaux, MS, Leslie Raffini, MD, MSCE, Rhea Robinson, BSN, Cynthia Sabo, MSN, Negin Saleh, Anjali A. Sharathkumar, MBBS, MD, MS, Rachel Simon, DNP, APRN, CPNP-PC, Lakshmi Srivaths, MD, MacKenzie Tasset, BS, Katrina Williams, BS, Rebekah Summerall Woodward, MPH, Benjamin Levine, Neil A. Goldenberg, MD, PhD, Frederikus A. Klok, MD, PhD, Christoph Male, MS, MSc, Tony G. Babb, PhD, Madhvi Rajpurkar, MD, Song Zhang, PhD

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Modern trends in diagnostics and prediction of results of anti-vascular endothelial growth factor therapy of pigment epithelial detachment in neovascular agerelated macular degener... by E. V. Kozina, S. N. Sakhnov, V. V. Myasnikova, E. V. Bykova, L. E. Aksenova

“…Dynamic registration of such biomarkers expands the ability of clinicians to predict morphological changes in pigment epithelial detachment during anti-VEGF therapy, as well as to optimize treatment regimens to prevent complications in the form of pigment epithelium tear leading to a decrease in visual acuity.Modern methods of deep machine learning and the use of neural networks allow achieving higher accuracy in diff erentiating the types of retinal fluids and automating the quantitative determination of fl uid under the pigment epithelium. …”
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Neutrophil Percentage-to-Albumin Ratio in the Diagnosis of Ovarian Torsion-Predictive Role by Rifat Sener, Sitki Ozbilgec, Fatih Akkus, Elif Ceyda Serin, Oguzhan Günenc

“…In our study, we aimed to predict ovarian torsion by evaluating preoperative neutrophil percentage-to-albumin ratio (NPAR) and inflammatory parameters among patients with ovarian cyst and ovarian torsion. …”
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Variability in Fishmeal Nutritional Value in Weaned Pigs and Development of Predictive Equations by Pei Yang, Xiaoyan Su, Bin Li, Junqi Jin, Bing Yu, Jun He, Jie Yu, Quyuan Wang, Huifen Wang, Daiwen Chen, Hui Yan

“…These findings demonstrate that the nutritional value of FM in nursery pig diets has been underestimated, and this study provides precise data and predictive methods for evaluating the nutritional quality of FM in precision nutrition.…”
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Predicting the spatial demand for public charging stations for EVs using multi-source big data: an example from jinan city, china by Qimeng Ren, Ming Sun

“…By using multi-source big data, this paper analyzes the population distribution, traffic organization, infrastructure, land use and regional economy of Jinan urban area, China, and constructs a comprehensive evaluation index system to predict the spatial demand of PCS for EVs. …”
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Modeling the Impact of Climate Change on Soil Health Using Predictive Analytics by Alsalami Zaid, Mandapati A. H. A. Hussein, Sundari Venkata Rama

“…To answer the problem of soil degradation under climate stress, this research develops and evaluates predictive models capable of predicting soil health indicators. …”
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Teaching microbiological food safety through case studies by Florence Dubois-Brissonnet, Laurent Guillier, Murielle Naıtali

“…This was addressed by designing a specific food safety module (24 hours) in which students were shown how to predict microbiological risks in food products i.e. they were asked to determine product shelf-life according to product formulation, preservation methods and consumption habits using predictive microbiology tools. …”
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Predictive Value of PLR, PNI, and HALP Scores in Ovarian Cancer Staging by Genc SO, Gulturk EA, Kurt B

“…PNI, however, was less predictive. These findings suggest that PLR and HALP could complement existing staging methods, aiding in clinical decision-making. …”
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Predictive modeling of ICU-AW inflammatory factors based on machine learning by Yuanyaun Guo, Wenpeng Shan, Jie Xiang

“…Three machine learning methods, logistic regression (LR), random forest (RF), and extreme gradient boosting (XGB), were used in the 70% participant training set to construct six different models, which were validated and evaluated in the remaining 30% of the participants as the test set. …”
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Predictive Value of D-dimer in Preeclamptic Pregnant Women at Different Ages by Tingting Liao, Yanjun Hu, Shihao Chen, Jiayong Zheng, Hongping Zhang

“…Background: The aim of this study was to evaluate the relationship and impact of D-dimer levels and preeclamptic pregnancies at different ages in women. …”
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Recent Developments in Machine Learning Predictive Analytics for Disaster Resource Allocation by Sunita Pachar, Deepak Dudeja, Neha Batra, Vinam Tomar, John Philip Bhimavarapu, Avadh Kishor Singh

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Corrosion Predictive Model in Hot-Dip Galvanized Steel Buried in Soil by Lorena-De Arriba-Rodríguez, Francisco Ortega-Fernández, Joaquín M. Villanueva-Balsera, Vicente Rodríguez-Montequín

“…Qualitative methods are commonly used rather than quantitative methods. …”
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The BASH score: A novel predictor for optimizing discharge timing in hip and knee arthroplasty by Matthew Kuchtaruk, Wilma M. Hopman, Stephen M. Mann

“…Patients with higher BASH scores were less likely to achieve same-day discharge (OR 2.47, 95 % CI 1.46–4.15). Among evaluated factors, BMI and most PFFS components, excluding pain, did not robustly predict same-day discharge. …”
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Predictive importance of cartilage acetabular index for acetabular dysplasia in orthopedic surgery by Mehmet Onur Ziyadanoğulları, Hüseyin Arslan

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Development and validation of a predictive model for sarcopenia risk in older Chinese adults based on key factors by Qianwei Sun, Lei Shen, Huamin Liu, Zhangqun Lou, Qi Kong

“…However, comprehensive predictive models for sarcopenia risk remain scarce. …”
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A study on the repeatability of radiomics parameters under repeated CT scans by Yi-Zhi Zhao, Lin Wu, Zhi-Gang Min, Chao-Ying Qian, Ting Chen, Yin-Bo Feng

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Epidemiological characteristics and prediction model construction of hand, foot and mouth disease in Quzhou City, China, 2005–2023 by Wenjie Xu, Canjie Zheng, Canya Fu, Canya Fu, Xiaoying Gong, Quanjun Fang, Zhiying Yin

“…In many provinces in China, there have been outbreaks and epidemics of whooping cough, posing a threat to public health.PurposeIt is crucial to grasp the epidemiological characteristics of HFMD in Quzhou and establish a prediction model for HFMD to lay the foundation for early warning of HFMD.MethodDescriptive epidemiological methods were used to analyze the epidemic characteristics of HFMD, the incidence map was drawn by ArcGIS software, the Seasonal Auto Regressive Integrated Moving Average (SARIMA) and Prophet model were established by R software. …”
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Passivity-Based Model-Predictive Control for the Permanent Magnet Synchronous Machine by Alejandro Garcés-Ruiz, Walter Julián Gil González

“…Method: A passivity-based model predictive control (MPC) is proposed, integrating port-Hamiltonian representation with optimization. …”
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Reflective error: a metric for assessing predictive performance at extreme events by Robert Edwin Rouse, Henry Moss, Scott Hosking, Allan McRobie, Emily Shuckburgh

“…In this work, we present a new error metric, termed Reflective Error, which quantifies the degree at which our model error is distributed around our extremes, in contrast to existing model evaluation methods that aggregate error over all events. …”
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Significance of platelet parameters in pre-eclampsia: A prospective cross-sectional study from a tertiary care center in North India by Amrutha Aravind, Poonam Khambra, Sonam Sharma

“…The receiver operating characteristic (ROC) curve analysis evaluated the predictive value of platelet parameters in pre-eclampsia. …”
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