Predictive model for necrotising fasciitis (NF) outcome by Sushmitha Kalakeri, Utsav Balar, Gehad Abdelkhalek

“…Further research with larger sample sizes is recommended to refine the model and improve predictive accuracy.…”
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An interpretable machine learning model to predict hospitalizations by Hagar Elbatanouny, Hissam Tawfik, Tarek Khater, Anatoliy Gorbenko

“…Feature importance analysis and dimensionality reduction techniques are employed to enhance models predictive performance. The best model was Gradient Boosting algorithm with an accuracy of 85.63% and AUC score of 0.8696. …”
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Development of Bankruptcy Prediction Model for Latvian Companies by Arnis Stasko, Ilze Birzniece, Girts Kebers

“…We propose an extended company performance prediction model that considers other factors that influence distress risk, e.g., changes in regulation and other environmental factors. …”
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A Predictive Model of the HIV Infection Course by E. I. Veselova, G. D. Kaminskiy, K. A. Kocharyan, A. B. Peregudova, O. V. Lovacheva, A. G. Samoylova

“…The course of HIV infection depends on the degree of HIV suppression during ART.The objective: to evaluate feasibility of using three factors: viral load (VL), HIV reservoir and CD8 T cells before ART initiation to estimate future levels of “residual” viremia and develop a predictive model.Subjects and Methods. 74 naive patients with HIV infection were enrolled in the study. …”
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Pedestrian Vision Language Model for Intentions Prediction by Farzeen Munir, Shoaib Azam, Tsvetomila Mihaylova, Ville Kyrki, Tomasz Piotr Kucner

Subjects: “…Pedestrian intention prediction…”
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Statistical methods for dementia risk prediction and recommendations for future work: A systematic review by Jantje Goerdten, Iva Čukić, Samuel O. Danso, Isabelle Carrière, Graciela Muniz‐Terrera

“…Abstract Introduction Numerous dementia risk prediction models have been developed in the past decade. …”
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Comparative Analysis of The Combined Model (Spatial and Temporal) and Regression Models for Predicting Murder Crime by Laith S. Ibrahim, Ghadeer Jasim Mohammed

“… This research dealt with the analysis of murder crime data in Iraq in its temporal and spatial dimensions, then it focused on building a new model with an algorithm that combines the characteristics associated with time and spatial series so that this model can predict more accurately than other models by comparing them with this model, which we called the Combined Regression model (CR), which consists of merging two models, the time series regression model with the spatial regression model, and making them one model that can analyze data in its temporal and spatial dimensions. …”
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Predicting bankruptcy in construction business: Traditional model validation and formulation of a new model by Michal Karas, Pavla Srbová

Subjects: “…bankruptcy prediction model…”
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Current progress in subseasonal-to-decadal prediction based on machine learning by Zixiong Shen, Qiming Sun, Xinyu Lu, Fenghua Ling, Yue Li, Jiye Wu, Jing-Jia Luo, Chaoxia Yuan

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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

“…This study aimed to develop prognostic models for predicting renal graft survival and compare the performance of statistical and machine learning models. …”
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A subregional prediction model for radiation-induced hypothyroidism by Wenting Ren, Ziqi Pan, Kuo Men, Bin Liang, Qingfeng Xu, Junlin Yi, Jianrong Dai

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Roughness Prediction Based on a Model of Cochlear Hydrodynamics by Václav VENCOVSKÝ

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Forecasting Referendums: A Structural Model Predicting Adoption and Support in Irish Plebiscites 1968–2024 by Stephen Quinlan, Michael S. Lewis-Beck, Matt Qvortrup

“…Election prediction flourishes among pollsters, the media, academics, and political anoraks, with four significant prognostic paradigms: opinion polls, markets, structural models, and hybrid approaches. …”
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Evidential Reasoning Approach for Predicting Popularity of Instagram Posts by L. Rivadeneira, I. Loor

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Modelling chelate-Induced phytoextraction: functional models predicting bioavailability of metals in soil, metal uptake and shoot biomass by Pasqualina Sacco, Fabrizio Mazzetto, Luca Marchiol

“…Contrariwise, the distribution strategy (single vs. split application) seems to produce significant differences both in plant growth and metal uptake, but not in soil metal bioavailability. The proposed models may help to understand and predict the chelate dose – effect relationship with less experimental work.…”
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Hygienic substantiation of calculating models for predicting toxicity of different classes insecticides (first part). by A. M. Antonenko, O. P. Vavrinevych, S. T. Omelchuk, B. I. Shpak

“…This work is the first part of our study to develop alternative experimental mathematic models for predicting toxicity of insecticides. In the first stage, calculations will be carried out and the most reliable models will be proposed. …”
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Prediction of chronic postsurgical pain in adults: a protocol for multivariable prediction model development by Christian Fynbo Christiansen, Lone Nikolajsen, Simon Haroutounian, Nicholas Papadomanolakis-Pakis

“…CPSP often interferes with activities of daily living and may have a negative impact on quality of life, emotional and physical well-being. Clinical prediction models can help clinicians target preventive strategies towards patients at high-risk of CPSP. …”
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Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners by Liangliang Xiang, Yaodong Gu, Kaili Deng, Zixiang Gao, Vickie Shim, Alan Wang, Justin Fernandez

“…The LSTM neural network with domain adaptation proved optimal for predicting bone stress in key foot bones—specifically the metatarsals, calcaneus, and talus—during the mid-stance and push-off phases (RMSE < 8.35 MPa). …”
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Model Predictive Control Using Stochastic Motion Prediction of Surrounding Vehicles in Uncontrolled Intersections by Sunyub Park, Yonghwan Jeong

“…This paper presents an autonomous driving algorithm for uncontrolled intersections based on Model Predictive Control (MPC) and Interacting Multiple Model (IMM) filters, proposing an innovative approach to addressing human driver uncertainty in mixed traffic scenarios. …”
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Ground data analysis for PM2.5 Prediction using predictive modeling techniques by Elham Nourmohammad, Yousef Rashidi

“…Conclusion: The findings highlight the importance of model selection and feature engineering in accurately predicting PM2.5 levels. …”
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