Comparative analysis of machine learning techniques in metabolomic-based preterm birth prediction by Ying-Chieh Han, Jane Shearer, Chunlong Mu, Donna M. Slater, Suzanne C. Tough, Gavin E. Duggan

“…Methods: Samples from 48 preterm and 102 term delivery mothers from the All Our Families Cohort (Calgary, AB) were examined. …”
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Evaluating free gas in coal measure sandstones: a hybrid geophysical logging approach by Zexin Yu, Guangyao Si, Zhentao Li, Fuqiang Gao, Aaron Wong, Xuebin Wu, Wenju Liu, Joung Oh

“…This hybrid approach offers a valuable enhancement to gas content estimation, enabling a more detailed evaluation of coal measure sandstones, improving gas risk management, and enhancing SGE prediction accuracy for the mining industry.…”
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Evaluation of Fluid Responsiveness: Is Photoplethysmography a Noninvasive Alternative? by Lars Prag Antonsen, Knut Arvid Kirkebøen

“…This paper aims to critically evaluate current data on the ability of photoplethysmography to predict fluid responsiveness. …”
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Fault Prediction and Reconfiguration Optimization in Smart Grids: AI-Driven Approach by David Carrascal, Paula Bartolomé, Elisa Rojas, Diego Lopez-Pajares, Nicolas Manso, Javier Diaz-Fuentes

“…However, the current literature yields a lack of methods for efficient fault prediction and fast reconfiguration. …”
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Predictive Factors for Super Responder Status and Long-Term Effectiveness of Guselkumab in Psoriasis: A Multicenter Retrospective Study by Edoardo Mortato, Marina Talamonti, Lorenzo Marcelli, Matteo Megna, Annunziata Raimondo, Giacomo Caldarola, Nicoletta Bernardini, Anna Balato, Anna Campanati, Maria Esposito, Claudio Bonifati, Viviana Lora, Luca Potestio, Serena Lembo, Francesco Loconsole, Eleonora De Luca, Nevena Skroza, Dario Buononato, Tommaso Bianchelli, Maria Concetta Fargnoli, Nello Tommasino, Felice Primavera, Clara De Simone, Luca Bianchi, Marco Galluzzo

“…Baseline clinical and anthropometric profiles, comorbidities, and treatment history were collected. Efficacy was evaluated using PASI scores. Logistic regression analysis was performed to identify predictive factors for achieving SRe status. …”
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Scaling a parenting program to reduce child maltreatment in Tanzania: The role of facilitator fidelity in adolescent and parent outcomes by Mackenzie Martin, Jamie M. Lachman, Francisco Calderon, Qing Han, Yulia Shenderovich, Esther Nydetabura, Nyasha Manjengenja, Joyce Wamoyi, Frances Gardner

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Evaluating the effectiveness of handheld ultrasound in primary blast lung injury: a comprehensive study by Shifeng Shao, Zhengbin Wu, Jun Liu, Zhikang Liao, Yuan Yao, Liang Zhang, Yaoli Wang, Hui Zhao

“…This study evaluates the effectiveness of immediate lung ultrasound in diagnosing PBLI. …”
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Evaluation of the long-term effectiveness of cardiac resynchronization therapy by T. V. Chumarnaya, T. A. Lyubimtseva, S. I. Solodushkin, V. K. Lebedeva, D. S. Lebedev, O. E. Solovieva

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EVALUATING THE ROLE OF SCAPULA MORPHOLOGY IN ROTATOR CUFF TEARS: WHICH IS THE MOST USEFUL PREDICTOR? by Gökhan Karademir, Onur Tunalı, Ata Can Atalar

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Impact of postoperative depression and immune-inflammatory biomarkers on the prognosis of patients with esophageal cancer receiving minimally invasive esophagectomy: a retrospectiv... by Pei-xin Tan, Lin-xin Wu, Shuang Ma, Shi-jing Wei, Tai-hang Wang, Bing-chen Wang, Bing-bing Fu, Jia-shuo Yang, Qing Zhao, Qing Zhao, Li Sun, Yi Liu, Tao Yan

“…Least absolute shrinkage and selection operator (LASSO) regression in combination with multivariate Cox and logistic regression were employed to identify the main impact indicators of relapse-free survival (RFS) and depression. The developed predictive model was evaluated using calibration plots, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). …”
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MicroRNA profiling reveals potential biomarkers for the early transformation of endometriosis towards endometriosis-correlated ovarian cancer by Gloria Ravegnini, Camelia Alexandra Coadă, Giulia Mantovani, Antonio De Leo, Dario de Biase, Alessia Costantino, Francesca Gorini, Giulia Dondi, Stella Di Costanzo, Francesco Mezzapesa, Federico Manuel Giorgi, Giovanni Tallini, Sabrina Angelini, Annalisa Astolfi, Lidia Strigari, Pierandrea De Iaco, Anna Myriam Perrone

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Predictive Model for In-Hospital Death in Older Patients with Type 2 Diabetes Mellitus: A Multicenter Retrospective Study in Southwest China by Tang Y, Zhang Z, Yu Y, He Y, Yuan Y, Wu X, Xu Q, Niu J, Wu X, Tan J

“…This study aims to develop and validate a predictive model for estimating in-hospital death risk in this population.Methods: Clinical data of 17,421 patients with T2DM aged ≥ 65 years admitted to six hospitals in southwest China were collected retrospectively. …”
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Ultrasound for evaluating gastrointestinal symptoms in irritable bowel syndrome patients: A systematic review by Anas Elgenidy, Ramez M. Odat, Mohamed Hesn, Asmaa Abodaif, Mohamed S. Elgendy, Mohammad Alzu'bi, Abdelrahman R. Youssef, Shady Sapoor, Mahmoud Mohamed AlSanafini, Moustafa Elnewishy, Paula Gamal Wassef

“…Methods: Studies were collected from PubMed, Scopus, Cochrane, Embase, and the Web of Science. …”
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Real-world evaluation of Brainomix e-Stroke software by Tarek Yousry, Robert Simister, Cillian McNamara, Matthew Fallon, Jack Garnham, Peter Cowley, Dermot Mallon, Chak Lam Ip, Eirini Blana, Arathi Menon, David Doig

“…The aim of this study was to prospectively evaluate the performance of Brainomix e-Stroke in an unselected cohort of patients with suspected acute ischaemic stroke.Methods The study cohort included all patients admitted to the University College London Hospital Hyperacute Stroke Unit between October 2021 and April 2022. …”
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Evaluation des perturbations biologiques chez les brûlés admis aux urgences [Evaluation of biological disorders in burn patients admitted on emergency unit ] by Ibtissem Kihel, Mourad Nachi, Fouzia Berrahal, Yousra Meguenni, Zineb Tahiri

“…Conclusion- Biological assessment upon admission to the emergency room is necessary to detect damages and guide treatment. The study of predictive biomarkers is also important to be able to predict the prognosis of the burn in order to optimize the management of burn patients. …”
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Evaluating the impact of waste marble on the compressive strength of traditional concrete using machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, Shadi Hanandeh, Susana Monserrat Zurita Polo, Rolando Fabián Zabala Vizuete, Rodney Orlando Santillán Murillo, Rolando Marcel Torres Castillo, Siva Avudaiappan

“…Error indices such as the sum of squared error (SSE), mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), and Error (%), and performance metrics such as Accuracy % and the R2 between predicted and calculated compressive strength parameters were used to evaluate the overall behavior of the models. …”
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Prediction and mapping of leaf water content in Populus alba var. pyramidalis using hyperspectral imagery by Zhao-Kui Li, Hong-Li Li, Xue-Wei Gong, Heng-Fang Wang, Guang-You Hao

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An Uncertainty-Aware Lane Change Motion Planning Algorithm Based on Probabilistic Trajectory Prediction Distribution by Zhiqiang Zhang, Lei Zhang, Mingqiang Wang, Cong Wang, Zhenpo Wang

“…This paper presents an overall risk assessment method for the host vehicle to achieve efficient motion planning considering uncertainties of the predicted driving behaviors of surrounding vehicles. …”
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Digital Mapping of Soil Equivalent Calcium Carbonate Using Landsat 8 Satellite Images and Environmental Data by Machine Learning Models in Badr Watershed, Kurdistan Province by M. Zarinibahador

“…Among the models used to predict the equivalent amount of calcium carbonate using the 10-fold cross-validation method, the multiple linear regression (MLR) model had the highest prediction accuracy with a coefficient of determination of 0.796 and a mean square error of 6.514. …”
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Performance Enhancement of a Grid Connected Wind Turbine-Based PMSG Using Effective Predictive Control Algorithm by Mahmoud A. Mossa, Rasha A. Mohamed, Ameena Saad Al-Sumaiti

“…The proposed control method is formulated based on the predictive control and backstepping theories taking the advantages that these theories provide. …”
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