Assessment and recalibration of seventeen lung cancer risk prediction models in approximately one million Chinese population utilising healthcare big data: a retrospective cohort a... by Ziqing Ye, Yexiang Sun, Yueqi Yin, Liya Liu, Miao Cui, Longyao Zhang, Yuantao Hao, David C. Christiani, Hongbo Lin, Peng Shen, Yongyue Wei

“…The objective of this study is to evaluate the feasibility and performance of 17 global lung cancer risk prediction models when applied to Chinese healthcare big data. …”
Get full text

A comparative assessment of causal machine learning and traditional methods for enhancing supply chain resiliency and efficiency in the automotive industry by Ishansh Gupta, Adriana Martinez, Sergio Correa, Hendro Wicaksono

“…Many companies still rely on traditional escalation methods, which may lack the precision and adaptability offered by modern technologies. …”
Get full text

Assessment of Experimental Data and Analytical Method of Helical Pile Capacity Under Tension and Compressive Loading in Dense Sand by Ali Asgari, Mohammad Ali Arjomand, Mohsen Bagheri, Mehdi Ebadi-Jamkhaneh, Yashar Mostafaei

Get full text

A Bayesian framework perspective for model of paired comparison in cricket teams ranking by Hajar M. Alkhezi, Ahmad Shafee, Yousuf Alkhezi

Get full text

Corrosion Rate Prediction of Buried Oil and Gas Pipelines: A New Deep Learning Method Based on RF and IBWO-Optimized BiLSTM–GRU Combined Model by Jiong Wang, Zhi Kong, Jinrong Shan, Chuanjia Du, Chengjun Wang

“…A GRU method was employed for prediction in the context of high corrosion conditions. …”
Get full text

Evaluating the impact of ESICM 2023 guidelines and the new global definition of ARDS on clinical outcomes: insights from MIMIC-IV cohort data by Duanhong Song, Qingquan Chen, Shangbin Huang, Shengxun Qiu, Zeshun Chen, Yuanhang Cai, Yifu Zeng, Xiaoyang Chen, Yixiang Zhang

Get full text

Three-dimensional (3D) vs. conventional echo evaluation of ventricular function in patients with sepsis or septic shock: a prognostic value by Abdelrahman K. Mohamed, Shereen M. El Gengeehy, Ahmed Abdelrahman Battah, Mohamed Hamdi Saleh, Soliman Belal

Get full text

Surrogate‐Model Assisted Plausibility‐Check, Calibration, and Posterior‐Distribution Evaluation of Subsurface‐Flow Models by Jonas Allgeier, Olaf A. Cirpka

Get full text

Prediction of blast-induced ground vibration in dolomitic marble quarry using Z-number information and fuzzy cognitive map based neural network models by Shahab Hosseini, Abiodun Ismail Lawal, Francois Mulenga

“…Blast-induced ground vibration (BIGV) is one of the detrimental environmental consequences of blasting operations in mining and civil engineering. Hence, accurate prediction of BIGV is highly imperative. Therefore, different novel artificial intelligence (AI) methods such as Bayesian regularized neural network (BRNN), Bayesian regularized causality-weighted neural network (BRCWNN) and Z-number-based Bayesian regularized causality-weighted neural network (Z-BRCWNN) are proposed in this study for the reliable prediction of BIGV in a dolomitic marble quarry using the obtained field data. …”
Get full text

Predicting the surface contact angle based on real-time temperature and pressure sintering principles in the fused deposition modeling process by Xunqi Liu, Yan Lou, Jianming Hong, Guijian Huang, Mingyu Liu

“…This provides an effective method for predicting the surface contact angle of FDM prints.…”
Get full text

Predictive value of hemoglobin, serum PAF, and IL-17 in patients with radiation enteritis complicated with intestinal obstruction and construction and validation of predictive mode... by Meng Wang, Yang Zhao, Wenqiang Ren

“…ObjectiveTo explore the predictive value of hemoglobin, serum platelet-activating factor (PAF), and interleukin-17 (IL-17) for intestinal obstruction in patients with radiation enteritis, and to construct and validate a related prediction model.MethodsA total of 234 patients who received radiotherapy and were diagnosed with radiation enteritis in our hospital from January 2018 to December 2023 were included in the study. …”
Get full text

Evaluation method for public guidance service interface design based on improved grey H-Convex correlation model: integrating layout aesthetics and user visual cognition by Weiwei Wang, Zhiqiang Wen, Zhanmei Hu, Jian Chen, Yanhui Gu, Qizhao Peng

“…Abstract The development of scientifically rigorous evaluation methods is essential to overcome three persistent challenges in public navigation interfaces: inadequate guidance, low usability, and suboptimal user experience. …”
Get full text

Evaluating Ecological Vulnerability and Its Driving Mechanisms in the Dongting Lake Region from a Multi-Method Integrated Perspective: Based on Geodetector and Explainable Machine... by Fuchao Li, Tian Nan, Huang Zhang, Kun Luo, Kui Xiang, Yi Peng

“…The results indicate that: ① ecological vulnerability increased progressively from the core wetlands and riparian corridors to the transitional zones in the surrounding hills and mountains; ② a significant spatial clustering of ecological vulnerability was observed, with a Moran’s I index of 0.78; ③ Geodetector analysis identified the interaction between NPP (<i>q</i> = 0.329) and precipitation (PRE, <i>q</i> = 0.268) as the dominant factor (<i>q</i> = 0.50) influencing spatial variation of EVI; ④ the Random Forest model achieved the best classification performance (AUC = 0.954, <i>F</i>1 score = 0.78), and SHAP analysis showed that NPP and PRE made the most significant contributions to model predictions. This study proposes a multi-method integrated decision support framework for assessing ecological vulnerability in lake wetland ecosystems.…”
Get full text

Enhanced safety assessment on tunnel excavation via refined rock mass parameter identification by Hongwei Huang, Tongjun Yang, Jiayao Chen, Zhongkai Huang, Chen Wu, Jianhong Man

“…The study provides significant insights into the intelligent evaluation of safety for continuous tunnel excavation.…”
Get full text

Deciphering the Social Vulnerability of Landslides Using the Coefficient of Variation-Kullback-Leibler-TOPSIS at an Administrative Village Scale by Yueyue Wang, Xueling Wu, Guo Lin, Bo Peng

“…Finally, the accuracy of the evaluation results is validated by applying the losses incurred from landslide disasters per unit area within the same year. …”
Get full text

Potential cost-savings of breastfeeding promotion to prevent breast cancer: a Monte Carlo simulation by Lai Ling Hui, Emily Liao, Jin Xiao Lian, Ching So, Ting Ting Wu, Carlos K. H. Wong, Tharani Loganathan, Edmund Anthony S. Nelson

“…Our study aimed to estimate the healthcare cost-savings resulting from a reduction in breast cancer attributed to an increase in the breastfeeding rate in Hong Kong. Methods This is an economic evaluation. We constructed an individual-based Monte Carlo method to simulate with probabilistic sensitivity analysis the development of breast cancer over a woman’s lifetime in a hypothetical birth cohort aged 20 years in 2018 (n = 33500) using best available data mainly from government statistics. …”
Get full text

Study Protocol: Evaluation of AI-Driven Grading Compared to Manual Grading in Predicting Embryo Viability and Successful Implantation and Clinical Pregnancy Outcomes in IVF Using S... by Puja Dhamija, Akash More, Namrata Choudhary, Tejaswini Wadhe, Devanshi R. Shah

“…Further research is needed to incorporate other embryonic developmental stages for a more comprehensive evaluation process.…”
Get full text

Evaluating of the accurasy of cardiovascular events predicting using SCORE scale and ultrasound visualization of atherosclerotic plaque in patients of multi-disciplinary hospital i... by L. L. Bershtein, A. E. Golovina, N. O. Katamadze, E. V. Bondareva, S. A. Saiganov

Get full text

Evaluation of left atrial strain using speckle-tracking echocardiography to predict postoperative atrial fibrillation after coronary artery bypass grafting: a systematic review and... by E. Z. Golukhova, N. I. Bulaeva, D. V. Mrikaev, S. A. Aleksandrova, E. N. Kudryashova, D. Kh. Dzhidzalova, D. D. Mollaeva, B. Sh. Berdibekov

Get full text

Evaluating Pull-Out Behavior of Timber Connections: A Comparison of Dowelled Joints and Axially Loaded Screws by Haksung Lee, Man-Kwon Choi, Bo-Seong Seo, Young-Seok Cho, Byung-Joo Kim

Get full text