Machine Learning Techniques for Uncertainty Estimation in Dynamic Aperture Prediction by Carlo Emilio Montanari, Robert B. Appleby, Davide Di Croce, Massimo Giovannozzi, Tatiana Pieloni, Stefano Redaelli, Frederik F. Van der Veken

“…In our recent work, we have devised surrogate models to predict the dynamic aperture boundary both efficiently and accurately. …”
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Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study by Min Yang, Huiqin Zhang, Minglan Yu, Yunxuan Xu, Bo Xiang, Xiaopeng Yao

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Development and Validation of a Nomogram-Based Risk Prediction Model for Diabetic Retinopathy in Elderly Adults with Type 2 Diabetes Mellitus by Chen M, Niu T, Sun Y, Chang M, Liu S, Xu T, Cui H

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Screening for undiagnosed atrial fibrillation using an electronic health record‒based clinical prediction model: clinical pilot implementation initiative by Randall W. Grout, Mohammad Ateya, Baely DiRenzo, Sara Hart, Chase King, Joshua Rajkumar, Susan Sporrer, Asad Torabi, Todd A. Walroth, Richard J. Kovacs

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Construction and validation of a nomogram model for predicting the risk of recurrence in patients with lower extremity arteriosclerosis obliterans after surgical intervention by Yanyan Lu, Lingyan Wang, Xiaoxiao Yu, Xiaohu Meng

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Implementing a transmural model of early palliative care in advanced dementia: the use of a hybrid effectiveness-implementation study design by Allyn Hum, Palvinder Kaur, Wen Yang Goh, Riyin Tay, Han Yee Neo, Mervyn Yong Hwang Koh, Noorhazlina Binte Ali, Wee Shiong Lim, Yu-Ling Jackie Tan, Huei Yaw Wu, Palvannan Kannapiran, Hwee Teng Robyn Tan, Yan Sun, Chin Ee Ong, Ravinder Singh Sachdev, Zhi Jun Low, Lee Hung Tey, Woan Shin Tan, Yew Yoong Ding

“…Predictive modeling markup language in the digital records platform is used to calculate the risk score for PLAD by inputting the predictors. …”
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Prognostic Factors and Long-Term Outcome Prediction in Patients with Hypopharyngeal Carcinoma Treated with (Chemo)radiotherapy: Development of a Prognostic Model by Miloslav Pala, Pavla Novakova, Adam Tesar, Lucie Vesela, Antonin Vrana, Jarmila Sukova, Zdenka Pechacova, Petra Holeckova, Tereza Drbohlavova, Tomas Podlesak, Petra Tesarova

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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

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Risk prediction model of physical frailty for a rural older population: a cross-sectional study in Hunan Province, China by Xiuyan Guo, Chunhong Shi

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Risk prediction models for dysphagia after radiotherapy among patients with head and neck cancer: a systematic review and meta-analysis by You Pu, Jin Yang, Lian Shui, Qianlong Tang, Xianqin Zhang, Guangguo Liu

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Predictive Processing in Autism Spectrum Disorder: The Atypical Iterative Prior Updating Account by Zhuanghua Shi, Fredrik Allenmark, Laura A. Theisinger, Rasmus L. Pistorius, Stefan Glasauer, Hermann J. Müller, Christine M. Falter-Wagner

“…Background: The nature of predictive-processing differences between individuals with autism spectrum disorder (ASD) and typically developing (TD) individuals remains contested. …”
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Predicting the distribution of Sphagna (Bryophyta) in Türkiye: a perspective of present and future climate scenarios by Gökhan Abay, Serkan Gül

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Accuracy of the 'Benish' and 'Developed Benish' Models in Predicting the Probability of Restating Financial Statements in Iran's Economic Environment by Sasan Mehrani, Akbar Rahimipoor

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Modeling and Simulation for Predicting Thermo-Mechanical Behavior of Wafer-Level Cu-PI RDLs During Manufacturing by Xianglong Chu, Shitao Wang, Chunlei Li, Zhizhen Wang, Shenglin Ma, Daowei Wu, Hai Yuan, Bin You

“…This study models and simulates the thermo-mechanical response during the manufacturing process of Cu-PI RDL at the wafer level. …”
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Development and validation of a perioperative risk prediction model for pressure ulcers in neurosurgical procedures: a machine learning approach with protocol compliance metrics by Yaping Wang, Weiguang Yu, Hui Zhi, Kun Shang, Hongmei Yin, Dandan Shan, Xiao Li, Wenxia Li, Xiuru Zhang, Baoli Zhang

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Machine learning-based prediction of 6-month functional recovery in hypertensive cerebral hemorrhage: insights from XGBoost and SHAP analysis by Menghui He, Zhongsheng Lu, Yiwei Lv, Zihai Cheng, Qiang Zhang, Xiaoqing Jin, Pei Han

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Predicting Ocean Current Temperature Off the East Coast of America with XGBoost and Random Forest Algorithms Using Rstudio by Lulut Alfaris, Anas Noor Firdaus, Ukta Indra Nyuswantoro, Ruben Cornelius Siagian, Aldi Cahya Muhammad, Rohana Hassan, Rodulfo T. Aunzo, Jr., Reza Ariefka

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Cooperative maximum adhesion tracking control for multi-motor electric locomotives by Leiting Zhao, Yongxiang Wang, Kan Liu, Liran Li, Jingyuan Zhan, Qingliang Liu

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The Application of Machine Learning Algorithms to Predict HIV Testing Using Evidence from the 2002–2017 South African Adult Population-Based Surveys: An HIV Testing Predictive Model by Musa Jaiteh, Edith Phalane, Yegnanew A. Shiferaw, Haruna Jallow, Refilwe Nancy Phaswana-Mafuya

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Machine learning-assisted multi-dimensional transcriptomic analysis of cytoskeleton-related molecules and their relationship with prognosis in hepatocellular carcinoma by Yuxuan Li, Mingbo Cao, Xiaorui Su, Gaoyuan Yang, Yupeng Ren, Zhiwei He, Zheng Shi, Ziyi Hu, Guirong Liang, Qi Zhang, Zhicheng Yao, Meihai Deng

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