External validation of the prediction model of intradialytic hypotension: a multicenter prospective cohort study by Yuhe Xiang, Guoting Ma, Qin Yang, Min Cao, Wenbin Xu, Lin Li, Qian Yang

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Artificial Neural Networks for Flood Prediction in Current and CMIP6 Climate Change Scenarios by Abderraman R. Amorim Brandão, Dimaghi Schwamback, Frederico C. M. deMenezes Filho, Paulo T. S. Oliveira, Maria Clara Fava

Subjects: “…climate change models…”
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Can a Non-Destructive Method Predict the Leaf Area of Species in the Caatinga Biome? by Toshik Iarley da Silva, João Everthon da Silva Ribeiro, Thainan Sipriano dos Santos, Marcos Roberto Santos Correia, Maria Carolina Borges de Oliveira Ribeiro, Allysson Jonhnny Torres Mendonça, Antonio Gideilson Correia da Silva, Pablo Henrique de Almeida Oliveira, Ester dos Santos Coêlho, Aurélio Paes Barros Júnior, Elania Freire da Silva, Alfredo Emilio Rubio-Casal, João L. M. P. de Lima, Thieres George Freire da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim

“…The best equations for all species were constructed using linear and power models, which were indicated for accurate prediction of leaf area. …”
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Development of Mathematical Functions to Predict Deflection of Radial and Bias Tractor Tires on Rigid Surface by Firat Komekci, Adnan Degirmencioglu

“…The model selection was achieved by three different criteria and % differences between the measured and predicted data. …”
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High entropy alloy property predictions using a transformer-based language model by Spyros Kamnis, Konstantinos Delibasis

“…Abstract This study introduces a language transformer-based machine learning model to predict key mechanical properties of high-entropy alloys (HEAs), addressing the challenges due to their complex, multi-principal element compositions and limited experimental data. …”
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Risk factors and nomogram predictive models for postsurgical progression/hyperprogression recurrence in hepatocellular carcinoma with macroscopic vascular invasion by Yiyue Huang, Yuexiang Su, Yuanyuan Chen, Jingxuan Xu, Lu Zhu, Haowen Wei, Shuiling Qin, Yuchong Peng, Lunan Qi

“…Conclusion We constructed two novel and potentially clinically valuable models for predicting type III-IV recurrence. These two models can develop strategies for treating those suffering from HCC with MaVI owing to their strong prediction performance and availability.…”
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Establishment of predictive models for head loss and filtration efficiency of pontoon mesh rotary filter based on dimension analysis by Zhen Jin, Lingwei Chen, Qiao Li, Mahemujiang Aihemaiti, Youwei Jiang, Hongfei Tao

“…The model exhibited high accuracy and could be used to predict the head loss and filtration efficiency of the pontoon mesh rotary filter. …”
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Integrating genetic polymorphisms and clinical data to develop predictive models for skin toxicity in breast cancer radiation therapy by Ester Aguado-Flor, Victoria M. Reyes, Víctor Navarro, Meritxell Mollà, Miguel E. Aguado-Barrera, Manuel Altabas, David Azria, Adinda Baten, Celine Bourgier, Renée Bultijnck, Jenny Chang-Claude, Maria Carmen De Santis, Alison M. Dunning, Laura Duran-Lozano, Rebecca M. Elliott, Marie-Pierre Farcy Jacquet, Carlotta Giandini, Alexandra Giraldo, Sheryl Green, Maarten Lambrecht, Carlos Lopez-Pleguezuelos, Chris Monten, Tiziana Rancati, Tim Rattay, Barry S. Rosenstein, Dirk De Ruysscher, Orland Diez, Petra Seibold, Elena Sperk, R Paul Symonds, Hilary Stobart, Ana Vega, Liv Veldeman, Guillermo Villacampa, Adam J. Webb, Caroline Weltens, Paolo Zunino, Christopher J. Talbot, Catharine M. West, Jordi Giralt, Sara Gutiérrez-Enríquez

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Spatio-temporal analysis of urban expansion and land use dynamics using google earth engine and predictive models by Ang Zhang, Aqil Tariq, Abdul Quddoos, Iram Naz, Rana Waqar Aslam, Elgar Barboza, Sajid Ullah, M. Abdullah-Al-Wadud

“…This study investigated historical and projected LULC changes and urban growth patterns in the districts of Multan and Sargodha, Pakistan, using Landsat satellite imagery, cloud computing, and predictive modelling from 1990 to 2030. The analysis of satellite images was grouped into four time periods (1990–2000, 2000–2010, 2010–2020, and 2020–2030). …”
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Construction of Personalized Predictive Models for Missed Medication Doses Using Wearable Device Data: Prospective Observational Study by Haru Iino, Hayato Kizaki, Shungo Imai, Satoko Hori

“…ObjectiveThis study aimed to develop and internally validate personalized predictive models, utilizing objective physiological and activity data from WDs, for identifying missed medication doses. …”
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Analysis of the half-life ‘ageing-constant’ theory for galvanic anodes: Analysing the model’s predictive power for CPT anodes by Stone Christian, Carr Warren, Roberts Adrian

“…Now, with over 17 years of data, the model will be assessed and dramatically different conclusions drawn on the effectiveness of this model for predicting the life of CPT anodes.…”
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Predictive value of preclinical models for CAR-T cell therapy clinical trials: a systematic review and meta-analysis by Sebastian Kobold, Carsten Marr, David Andreu-Sanz, Lisa Gregor, Emanuele Carlini, Daniele Scarcella

“…While the logistic regression model accurately predicted clinical outcomes based on clinical or preclinical features (Macro F1 and area under the curve (AUC)>0.8), it failed in predicting preclinical outcomes from preclinical features (Macro F1<0.5, AUC<0.6), indicating that preclinical studies may be influenced by experimental factors not accounted for in the model.Conclusion These findings underscore the need to better understand the experimental factors enhancing the predictive accuracy of mouse models in preclinical settings.…”
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Predictive Models for Environmental Perception in Multi-Type Parks and Their Generalization Ability: Integrating Pre-Training and Reinforcement Learning by Kangen Chen, Tao Xia, Zhoutong Cao, Yiwen Li, Xiuhong Lin, Rushan Bai

“…In the subsequent training phase, a reinforcement learning strategy was introduced to optimize the sample selection and modal fusion paths to enhance the model’s generalization capability. To validate the cross-type prediction ability of the model, the experimental design uses data from three types of parks for training, with the remaining type as a test set. …”
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Simultaneous assessment of mitochondrial DNA copy number and nuclear epigenetic age towards predictive models of development and aging by Phyo W. Win, Julia Nguyen, Amanda L. Morin, Charles E. Newcomb, Shiva M. Singh, Noha Gomaa, Christina A. Castellani

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Predictive Models of Patient Severity in Intensive Care Units Based on Serum Cytokine Profiles: Advancing Rapid Analysis by Cristiana P. Von Rekowski, Tiago A. H. Fonseca, Rúben Araújo, Ana Martins, Iola Pinto, M. Conceição Oliveira, Gonçalo C. Justino, Luís Bento, Cecília R. C. Calado

“…This study aimed to develop robust predictive models using small sets of blood analytes to predict disease severity and mortality in ICUs, as fewer analytes are advantageous for future rapid analyses using biosensors, enabling fast clinical decision-making. …”
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Corrigendum: Predictive and prognostic nomogram models for liver metastasis in colorectal neuroendocrine neoplasms: a large population study by Xiao Lei, Yanwei Su, Yanwei Su, Rui Lei, Dongyang Zhang, Zimeng Liu, Xiangke Li, Minjie Yang, Jiaxin Pei, Yanyan Chi, Yanyan Chi, Lijie Song, Lijie Song

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Predictive and Explainable Machine Learning Models for Endocrine, Nutritional, and Metabolic Mortality in Italy Using Geolocalized Pollution Data by Donato Romano, Michele Magarelli, Pierfrancesco Novielli, Domenico Diacono, Pierpaolo Di Bitonto, Nicola Amoroso, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro

“…This study investigated the predictive performance of three regression models—Gradient Boosting (GB), Random Forest (RF), and XGBoost—in forecasting mortality due to endocrine, nutritional, and metabolic diseases across Italian provinces. …”
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FOX-TSA hybrid algorithm: Advancing for superior predictive accuracy in tourism-driven multi-layer perceptron models by Sirwan A. Aula, Tarik A. Rashid

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Predictive Models Using Machine Learning to Identify Fetal Growth Restriction in Patients With Preeclampsia: Development and Evaluation Study by Qing Hua, Fengchun Yang, Yadan Zhou, Fenglian Shi, Xiaoyan You, Jing Guo, Li Li

“…ConclusionsThe study successfully developed a model that accurately predicts FGR development in patients with preeclampsia. …”
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Quality Management in Chemical Processes Through Fuzzy Analysis: A Fuzzy C-Means and Predictive Models Approach by Gabriel Marín Díaz

“…Experimental validation using a real-world white wine dataset, evaluated in terms of accuracy and interpretability, shows that the proposed model outperforms traditional approaches in both predictive performance and transparency. …”
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