Prediction Models for Late-Onset Preeclampsia: A Study Based on Logistic Regression, Support Vector Machine, and Extreme Gradient Boosting Models by Yangyang Zhang, Xunke Gu, Nan Yang, Yuting Xue, Lijuan Ma, Yongqing Wang, Hua Zhang, Keke Jia

“…Logistic regression was used as the baseline model to assess the predictive performance of the support vector machine and extreme gradient boosting models for late-onset preeclampsia. …”
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Impact of large language models and vision deep learning models in predicting neoadjuvant rectal score for rectal cancer treated with neoadjuvant chemoradiation by Hyun Bin Kim, Hong Qi Tan, Wen Long Nei, Ying Cong Ryan Shea Tan, Yiyu Cai, Fuqiang Wang

“…Abstract This study aims to explore Deep Learning methods, namely Large Language Models (LLMs) and Computer Vision models to accurately predict neoadjuvant rectal (NAR) score for locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiation (NACRT). …”
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The Use of Accounting Models, Statistical Models, and Securities Marketing Prices to Predict Corporate Failure and the Case for Continuing Fiduciary Obligations to Corporate Creditors by Razeen Sappideen

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RESEARCH ON MODELING METHOD OF EQUIVALENT TURNING FORCE MODEL (MT) by WU MingZhou, ZHANG GuangPeng, GOU JianFeng, ZHANG Peng

“…A turning force prediction model based on the equivalent model is established. …”
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Development and validation of machine learning classifiers for predicting treatment-needed retinopathy of prematurity by Nasser Shoeibi, Majid Abrishami, Seyedeh Maryam Hosseini, Mohammad-Reza Ansari-Astaneh, Razieh Farrahi, Bahareh Gharib, Fatemeh Neghabi, Mojtaba Abrishami, Mehdi Sakhaee, Mehrdad Motamed Shariati

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A Fused Multi-Channel Prediction Model of Pressure Injury for Adult Hospitalized Patients—The “EADB” Model by Eba’a Dasan Barghouthi, Amani Yousef Owda, Majdi Owda, Mohammad Asia

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Two novel deep-learning models to predict spontaneous ureteral calculi passage: Model development and validation by Zhiying Xiao, Hui Bai, Yumeng Zhang

“…The aim of this study was to develop and evaluate two deep-learning (DL) models for predicting spontaneous ureteral stone passage (SSP). …”
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Stunting Prediction Modeling in Toddlers Using a Machine Learning Approach and Model Implementation for Mobile Application by Eko Abdul Goffar, Rosa Eliviani, Lili Ayu Wulandhari

“…The literature review section discusses the factors that influence stunting, and these factors are used as features to build a stunting prediction model. Then the features were used to build a model with three machine learning algorithms Extreme Gradient Boosting (XGBoost), Random Forest, and K-Nearest Neighbor (KNN) to build and evaluate models that predict stunting. …”
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Development of a comprehensive model to predict stock prices in the stock market with an interpretive structural modeling approach by Shiva Rezaeyan, Mohammad Taleghani, Azita Sherej Sharifi

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Morphological Model for Erosion Prediction of India’s Largest Braided River Using MIKE 21C Model by Kuldeep Pareta

“…The approach leverages predictive models to predict morphological changes over a 2–3 years timeframe, contributing to improved river management.…”
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Large language models' knowledge of children's memory and suggestibility: Evaluating model predictions of prior experimental results by Pekka Santtila, Yongjie Sun, Kristjan Kask, Liisa Järvilehto, Jiaxing Xiu

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A robust multi-model framework for groundwater level prediction: The BFSA-MVMD-GRU-RVM model by Akram Seifi, Sharareh Pourebrahim, Mohammad Ehteram, Hanieh Shabanian

“…Finally, the extracted data is fed into the RVM model to predict groundwater levels one month ahead in Iran's Bastam Plain. …”
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Joint Decision-Making Model Based on Consensus Modeling Technology for the Prediction of Drug-Induced Liver Injury by Yukun Wang, Xuebo Chen

“…Compared with the main published studies, our method exhibits certain advantage in data size, transparency, and standardization of the modeling process and accuracy and credibility of prediction results. …”
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Construction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model by Xiaoyu Gong, Bo Li, Yu Yang, MengHua Li, Tao Li, Beibei Zhang, Lulin Zheng, Hongfei Duan, Pu Liu, Xin Hu, Xin Xiang, Xinju Zhou

Subjects: “…Mine influx prediction…”
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Exfoliation Corrosion and Pitting Corrosion and Their Role in Fatigue Predictive Modeling: State-of-the-Art Review by David W. Hoeppner, Carlos A. Arriscorreta

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Role of Pyroptosis in IVIG-Resistant Kawasaki Disease and the Establishment of a New Predictive Model by Li S, Zhou Y, Wen Y, Wu Y, Liu F, Ding Y

“…These meaningful variables were assigned values based on odds ratios and became components of the new risk assessment model. The prediction efficiency of this model was tested and evaluated based on the receiver operating characteristic (ROC) curves.Results: 1. …”
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Spectroscopic analysis (UV-VIS-NIR) for predictive modeling of macro and micronutrients in grapevine leaves by J.I. Manzano, M. Rodríguez-Febereiro, M. Fandiño, M. Vilanova, J.J. Cancela

“…The model was trained using 70 % of the samples, while the remaining 30 % constituted the independent validation. …”
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A predictive model to assess the risk of developing hyperlipidemia in patients with type 2 diabetes. by Rujian Ye, Xitong Huang, Hehui Yang, Wei Pan, Ping Wang, Janhao Men, Dawei Huang, Shan Wu

“…<h4>Objectives</h4>The research sought to determine early clinical indicators that could predict the onset of hyperlipidemia in patients with T2D and to establish a predictive model that integrates clinical and laboratory indicators.…”
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Predictive modeling of Super El Niño through integrated local and global climate signals by Chae-Hyun Yoon, Jubin Park, Myung-Ki Cheoun

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Harnessing artificial intelligence for predictive modelling in oral oncology: Opportunities, challenges, and clinical Perspectives by Vishnu Priya Veeraraghavan, Shikhar Daniel, Arun Kumar Dasari, Kaladhar Reddy Aileni, Chaitra patil, Santosh R. Patil

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