Machine Learning Does Not Improve Humeral Torsion Prediction Compared to Regression in Baseball Pitchers by Garrett S Bullock, Charles A Thigpen, Gary S Collins, Nigel K Arden, Thomas K Noonan, Michael J Kissenberth, Ellen Shanley

“…Models with low error and "good" calibration slope may be helpful for prediction. # Hypothesis/Purpose To develop prediction models using a range of machine learning methods to predict humeral torsion in professional baseball pitchers and compare these models to a previously developed regression-based prediction model…”
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Predicting patient engagement in IAPT services: a statistical analysis of electronic health records by David Betts, Alice Davis, Theresa Smith, Jenny Talbot, Chris Eldridge

“…In order to intervene effectively, it is important to target the patients who are most likely to miss their appointments.Objective This research aims to develop and test a model to predict whether an IAPT patient will attend their first appointment.Methods Data from 19 adult IAPT services were analysed in this research. …”
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Diagnostic Accuracy of Predictive Models in Prostate Cancer: A Systematic Review and Meta-Analysis by Mohammad Saatchi, Fatemeh Khatami, Rahil Mashhadi, Akram Mirzaei, Leila Zareian, Zeinab Ahadi, Seyed Mohammad Kazem Aghamir

“…The study’s outcome was the AUC and 95% confidence interval of prediction models. This index was reported as an overall and based on the WHO region and models with/without MRI. …”
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Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather Routing by Chih-Wen Cheng, Yu-An Tzeng, Ming-Hsiung Chang, Shang-Chi Liu, Ho-King Cheung, Ching-Yeh Hsin

“…The study focused on improving the prediction of speed loss in irregular waves for container ships and further applying this to ship-optimized voyage planning. …”
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Prediction of Orbit Decay for Large-Scale Spacecraft considering Rarefied Aerodynamic Perturbation Effects by Xinglong Gao, Zhihui Li, Qin Chen, Di Ding, Aoping Peng

“…The growing risk of falling debris from outer space as well as the atmospheric interaction effect makes the orbit decay prediction of large spacecraft in very low earth orbit (VLEO) increasingly significant. …”
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EPIMR: Prediction of Enhancer-Promoter Interactions by Multi-Scale ResNet on Image Representation by Qiaozhen Meng, Yinuo Lyu, Xiaoqing Peng, Junhai Xu, Jijun Tang, Fei Guo

“…Prediction of enhancer-promoter interactions (EPIs) is key to regulating gene expression and diagnosing genetic diseases. …”
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Enhancing Heart Attack Prediction with Machine Learning: A Study at Jordan University Hospital by Mohammad Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh, Yara Alkayed, Yasmin Al Trabsheh, Bahaaldeen Alshraideh

“…This study uses the Jordan University Hospital (JUH) Heart Dataset to develop and evaluate machine-learning models for predicting heart disease. The primary objective of this study is to enhance prediction accuracy by utilizing a comprehensive approach that includes data preprocessing, feature selection, and model development. …”
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Developed a solar still unit for saltwater desalination: numerical prediction and performance verification by Ayman Ibrahim, Nahed El Mahallawy, Islam Elsebaee, Hebatullah Megahed, Galal Aboelasaad, Abdelalim El-Bediwy, Osama Dewedar

“…In this work, SBSS for desalinating high-salinity water were developed, tested, and evaluated based on a developed numerical model using MATLAB R2021a program to predict the best productivity through the best selection of raw materials used to develop the SBSS. …”
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Predictive Laboratory Markers for Gastrointestinal Complications in Children with Henoch-Schönlein Purpura by Guo Q, Xia S, Ding Y, Liu F

“…Key predictive markers identified included neutrophil count, NLR, WBC count, PLR, and platelet count. …”
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Comparison of Different Risk Scores for Prediction of In-Hospital Mortality in STEMI Patients Treated with PPCI by Chih-Hwa Wang, Hui-Ting Wang, Kuan-Han Wu, Fu-Jen Cheng, Cheng-I. Cheng, Chia-Te Kung, Fu-Cheng Chen

“…To compare the prognostic precision of four risk scores for predicting in-hospital mortality in patients with STEMI treated with PPCI. …”
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Deep Drug–Target Binding Affinity Prediction Base on Multiple Feature Extraction and Fusion by Zepeng Li, Yuni Zeng, Mingfeng Jiang, Bo Wei

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Intelligent diagnosis and prediction of pregnancy induced hypertension in obstetrics and gynecology teaching by integrating GA by Xiaolan Li, Xiaolan Li, Xiaolan Li, Fen Kang, Fen Kang, Fen Kang, Xiaojing Li, Xiaojing Li, Xiaojing Li

“…The potential for misdiagnosis, often stemming from the inexperience of healthcare professionals, underscores the necessity for an advanced diagnostic system.MethodsThis research introduces an innovative sampling and feature selection technique grounded in F-scores optimization, alongside the development of a comprehensive prediction model that integrates genetic algorithms with various heterogeneous learners. …”
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Applied machine learning for predicting the properties and carbon and phosphorus fate of pristine and engineered hydrochar by Shiyu Xie, Tao Zhang, Siming You, Santanu Mukherjee, Mingjun Pu, Qing Chen, Yaosheng Wang, Esmat F. Ali, Hamada Abdelrahman, Jörg Rinklebe, Sang Soo Lee, Sabry M. Shaheen

“…Abstract Application of advanced techniques and machine learning (ML) for designing and predicting the properties of engineered hydrochar/biochar is of great agro-environmental concern. …”
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The Optimal Machine Learning Model for the Precise Prediction of HighPerformance Concrete Strength Property by Yufeng Qian

“…The machine learning-based method, which relies on data mining, helps develop reliable and precise models to predict compressive strength. The present study employs a machine learning-based support vector regression (SVR) method to implement compressive strength prediction. …”
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A Network Traffic Prediction Model Based on Layered Training Graph Convolutional Network by Yulian Li, Yang Su

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Integrated Feature Selection of ARIMA with Computational Intelligence Approaches for Food Crop Price Prediction by Yuehjen E. Shao, Jun-Ting Dai

“…Consequently, food crop price prediction has attracted considerable attention in recent years. …”
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A Computational Complexity-Based Method for Predicting Scholars’ Ages through Articles’ Information by Jun Zhang, Xiaoyan Su, Mingliang Hou, Jing Ren

“…Many scholars have conducted in-depth research on the evaluation and prediction of scholars’ scientific impact and meanwhile discovered various factors that affect the success of scholars. …”
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The Optimization of Carbon Emission Prediction in Low Carbon Energy Economy Under Big Data by Ji Luo, Wuyang Zhuo, Siyan Liu, Bingfei Xu

“…This research first establishes a Multi-universe Quantum Harmony Search-Algorithm Dynamic Fuzzy System Ensemble (MUQHS-DMFSE) composite model for carbon emission prediction. This model combines the MUQHS algorithm with the DMFSE method by designing the workflow of the MUQHS algorithm, creating a DMFSE composite prediction model, introducing a sliding factor matrix, and using the MUQHS algorithm to search for the optimal sliding factors, thus obtaining optimized prediction values. …”
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Integrated CNN‐LSTM for Photovoltaic Power Prediction based on Spatio‐Temporal Feature Fusion by Junwei Ma, Meiru Huo, Jinfeng Han, Yunfeng Liu, Shunfa Lu, Xiaokun Yu

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Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer by Qiying Song, Shihe Liu, Di Wu, Aizhen Cai

“…By integrating PCDS with clinical characteristics, we constructed and validated a nomogram that demonstrated robust predictive performance.ResultsWe screened nine PCD-related genes (SERPINE1, PLPPR4, CDO1, MID2, NOX4, DYNC1I1, PDK4, MYB, TUBB2A) to create the PCDS. …”
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