A predictive machine-learning model for clinical decision-making in washed microbiota transplantation on ulcerative colitis by Sheng Zhang, Gaochen Lu, Weihong Wang, Qianqian Li, Rui Wang, Zulun Zhang, Xia Wu, Chenchen Liang, Yujie Liu, Pan Li, Quan Wen, Bota Cui, Faming Zhang

“…Besides, the voting ensembles exhibited an area under curve (AUC) of 0.769 ± 0.019 [accuracy, 0.754; F1-score, 0.845] in the internal validation; the AUC of the external validation was 0.614 ± 0.017 [accuracy, 0.801; F1-score, 0.887]. Additionally, the model was available at https://wmtpredict.streamlit.app.ConclusionsThis study pioneered the development of a machine learning model to predict the one-month clinical response of WMT on UC. …”
Get full text

A Novel Cooperative AI-Based Fall Risk Prediction Model for Older Adults by Deepika Mohan, Peter Han Joo Chong, Jairo Gutierrez

“…Two AI models’ predictions are combined to produce accurate predictions: The <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>I</mi></mrow><mrow><mn>1</mn></mrow></msub></mrow></semantics></math></inline-formula> model is based on vital signs using Fuzzy Logic, and the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>I</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></semantics></math></inline-formula> model is based on Activities of Daily Living (ADLs) using a Deep Belief Network (DBN). …”
Get full text

Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

Get full text

Hydraulic permeability prediction from attenuation in an oil well using the squirt flow model by Joseline Mena-Negrete, Raúl Del Valle García, Enrique Coconi-Morales

Get full text

Early Prediction of Remaining Useful Life for Lithium-Ion Batteries with the State Space Model by Yuqi Liang, Shuai Zhao

“…To reduce the complexity and improve the accuracy and applicability of early RUL predictions for LIBs, we proposed a Mamba-based state space model for early RUL prediction. …”
Get full text

A Deformation Prediction Model for Concrete Dams Based on RSA-VMD-AttLSTM by Pei Liu, Hao Gu, Chongshi Gu, Yanbo Wang

“…This paper presents a deformation prediction model for concrete dams that integrates a reptile search algorithm (RSA), a Variational Mode Decomposition (VMD) algorithm, and a long short-term memory network model with attention mechanism (AttLSTM). …”
Get full text

Research on Oil Well Production Prediction Based on GRU-KAN Model Optimized by PSO by Bo Qiu, Jian Zhang, Yun Yang, Guangyuan Qin, Zhongyi Zhou, Cunrui Ying

“…These selected features are used as input to the GRU-KAN model to establish the oil well production prediction model. …”
Get full text

Multi-task aquatic toxicity prediction model based on multi-level features fusion by Xin Yang, Jianqiang Sun, Bingyu Jin, Yuer Lu, Jinyan Cheng, Jiaju Jiang, Qi Zhao, Jianwei Shuai

“…Objectives: This article presents ATFPGT-multi, an advanced multi-task deep neural network prediction model for organic toxicity. Methods: The model integrates molecular fingerprints and molecule graphs to characterize molecules, enabling the simultaneous prediction of acute toxicity for the same organic compound across four distinct fish species. …”
Get full text

Prediction Models for Mortality in Patients With Moderate to Severe ARDS Treated in the ICUTake-Home Points by Katrijn Daenen, MD, Sara C.M. Stoof, MD, PhD, Hugo van Willigen, MD, Anders Boyd, PhD, Virgil A.S.H. Dalm, MD, PhD, Diederik A.M.P.J. Gommers, MD, PhD, Eric C.M. van Gorp, MD, PhD, Abraham J. Valkenburg, MD, PhD, Henrik Endeman, MD, PhD, Jilske A. Huijben, MD, PhD

“…Background: Mortality prediction models have been developed for patients in the ICU, but infrequently are targeted for specific conditions. …”
Get full text

Model Identification and Transferability Analysis for Vehicle-to-Grid Aggregate Available Capacity Prediction Based on Origin–Destination Mobility Data by Luca Patanè, Francesca Sapuppo, Gabriele Rinaldi, Antonio Comi, Giuseppe Napoli, Maria Gabriella Xibilia

“…Both structures achieved an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> of 0.95 and 0.87 for the three-step-ahead AAC prediction in the two hubs considered, compared to the values of 0.88 and 0.72 obtained with the linear autoregressive model. …”
Get full text

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

“…Performance was assessed using metrics such as coefficient of determination (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>r</mi><mn>2</mn></msup></semantics></math></inline-formula>), mean absolute error (MAE), and root mean squared error (RMSE), revealing that GB outperformed both RF and XGB, offering superior predictive accuracy and model stability (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>r</mi><mn>2</mn></msup></semantics></math></inline-formula> = 0.55, MAE = 0.17, and RMSE = 0.05). …”
Get full text

Prediction of potential invasion range of alien plant Peperomia pellucida in China by DONG Xu, CHEN Xiuzhi, LOU Yuxia, GUO Shuiliang

“…Among these ecological niche models, maximum entropy (MaxEnt) model has higher accuracy of predicted results with small sample size.According to 12 environmental variables from the global climate environment database (http://www.worldclim.org/) and 649 occurrence records of P. pellucida in the world from the global biodiversity database (http://data.gbif.org/welcome.htm) and the Chinese Virtual Herbarium (http://www.cvh.org.cn/cms/), a prediction of P. pellucida potential distribution was conducted using MaxEnt model and ArcGis 9.3 software. …”
Get full text

Analyzing Momentum Shifts in Tennis: A Machine-Learning Approach to Predicting Match Outcomes by Yuean Xia, Changfeng Li, Tanran Zhang

“…At the same time, the model has also been applied to the prediction of other tennis games and even table tennis games. …”
Get full text

Septic arthritis score (SAS) – a novel clinical prediction model for the probability of septic arthritis in the adult native knee by Jonas Tverring, Amelia Johansson, Omid Bornaei, Adam Lantz, Oskar Ljungquist

“…We aimed to develop a clinical prediction model for septic arthritis (SA) in the adult native knee. …”
Get full text

Predicting Olympic Medal Performance for 2028: Machine Learning Models and the Impact of Host and Coaching Effects by Zhenkai Zhang, Tengfei Ma, Yunpeng Yao, Ningjia Xu, Yujie Gao, Wanwan Xia

“…This study develops two machine learning models to predict the medal performance of countries at the 2028 Olympic Games while systematically analyzing and quantifying the impacts of the host effect and exceptional coaching on medal gains. …”
Get full text

Performance of Various Artificial Intelligence Models for Predicting Temperature in an Industrial Building—A Case Study by Johan Roussel, Zoubeir Lafhaj, Pascal Yim, Thomas Danel, Laure Ducoulombier

“…This article presents a comparative analysis of the performance of various artificial intelligence models for predicting temperature in an industrial building. …”
Get full text

Predicting Noise and User Distances from Spectrum Sensing Signals Using Transformer and Regression Models by Myke Valadão, Diego Amoedo, André Costa, Celso Carvalho, Waldir Sabino

“…This paper proposes a method for predicting noise levels and distances based on spectrum sensing signals using regression machine learning models. …”
Get full text

A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer's disease onset. by Francis Hane, Carolyn Augusta, Owen Bai

Get full text

Multi-Model Gait-Based KAM Prediction System Using LSTM-RNN and Wearable Devices by Doyun Jung, Cheolwon Lee, Heung Seok Jeon

“…Specifically, the RMSE for the Multi-model system was 6.84 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">N</mi><mo>·</mo><mi mathvariant="normal">m</mi></mrow></semantics></math></inline-formula>, which is lower than the 8.82 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">N</mi><mo>·</mo><mi mathvariant="normal">m</mi></mrow></semantics></math></inline-formula> of the Single-model system, indicating a better predictive accuracy. …”
Get full text

Hyperspectral Prediction Models of Chlorophyll Content in <i>Paulownia</i> Leaves under Drought Stress by Yamei Zhang, Guangxin Ru, Zhenli Zhao, Decai Wang

“…Based on the prediction accuracy and the uniformity of different leaf positions, the optimal model was systematically explored. …”
Get full text