Role of the CHADS-VASc score in predicting hospital stay and 90-day readmission among patients with atrial fibrillation in Syria by Ibrahim Antoun, Alamer Alkhayer, Alkassem Alkhayer, Yaman Mahfoud, Ahmed Kotb, Riyaz Somani, G André Ng, Mustafa Zakkar

“…Objectives We assessed the CHA 2 DS 2 -VASc score for predicting hospital readmission risk and length of stay (LOS) in patients admitted with primary atrial fibrillation (AF). …”
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Development and validation of a novel artificial intelligence algorithm for precise prediction the postoperative prognosis of esophageal squamous cell carcinoma by Zichen Wang, Zhihan Xiao, Tongyu Zhang, Meiyou Lu, Hai Li, Jing Cao, Jianan Zheng, Yichan Zhou, Juncheng Dai, Cheng Wang, Liang Chen, Jing Xu

“…The purpose of this study is to develop a novel clinically prognostic prediction system to facilitate the individualized postoperative care. …”
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Avoiding stress on non-lexical material in nouns and verbs: predictable verb prosody in Serbo-Croatian stress standard varieties by Simonović Marko, Kager René

“…In a case study on a group of standard Serbo-Croatian varieties that have predictable stress in verbs but contrastive stress in nouns, we develop an analysis of predictable and morphologically conditioned stress assignment. …”
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Predictive biomarkers of performance under stress: a two-phase study protocol to develop a wearable monitoring system by Cassandra Pattinson, Graham Kerr, Simon S Smith, Chamindie Punyadeera, Ian Stewart, Kerrie Mengersen, Karen A Sullivan, Jonathan M Flintoff, Sarah Ahamed, Shahnewaz Ali, Angus Bagley, Daniel Broszczak, Blair Crewther, Louis de Waal, Shannon L Edmed, Tharindu Fernando, Clinton Fookes, Francesca D Frentiu, Andrew P Hunt, Ottmar V Lipp, Ben McMaster, Luke Ney, Senn L Oon, Ajay Pandey, Parth Pandit, Jonathan M Peake, Muthukuttige Madusha Nuwanthi Perera, Virginie Perlo, Luke Schmidt, Kirsten Spann, Danielle Young, Tony J Parker

“…Understanding and predicting individual responses to common stressors is essential for optimising performance in high-stress environments. …”
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Cardiovascular Risk Assessment among Adults in Primary Health Care Settings in Sulaimani Using WHO Risk Prediction Charts by Vian Najim Edeen, Zhian Salah Ramzi

“…WHO adopted World Health Organization/International Society of Hypertension (WHO/ISH) risk charts to predict cardiovascular disease risk in low and middle income countries. …”
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Bond behavior of galvanized iron fiber reinforced concrete with recycled coarse aggregate and model prediction using machine learning by Md. Jahidul Islam, Ummul Wara Labiba, Tasfiah Faisal Chowdhury, Md. Shahjalal, Tanvir Mustafy, Tanvir Hassan Tusher

“…The study also employed regression and machine learning (ML) models to predict bond strength. The XGB and ANN models were used to compare the proposed regression equations and existing mechanical models with the ML models. …”
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Establishing of a risk prediction model for metabolic dysfunction-associated steatotic liver disease: a retrospective cohort study by Nan Li, Chenbing Liu, Zhangfan Lu, Wenjian Wu, Feng Zhang, Lihong Qiu, Chao Shen, Di Sheng, Zhong Liu

“…Collinearity diagnosis and Cox regression were used to identify factors associated with MASLD incidence, and a risk prediction model was created. The model’s accuracy, reliability, and clinical applicability were assessed. …”
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Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering by Senhui Wang

“…The results showed that an improvement in predictive accuracy can be obtained by the GA-ELM approach, and the accuracy of TI prediction is 81.85% for absolute error under 0.7%.…”
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Stock price prediction using the Sand Cat Swarm Optimization and an improved deep Long Short Term Memory network by Burak Gülmez

Subjects: “…Stock price prediction…”
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Nomograms for predicting recurrence of HER2‐positive breast cancer with different HR status based on ultrasound and clinicopathological characteristics by Xudong Zhang, Hanqing Kong, Xiaoxue Liu, Qingxiang Li, Xinran Fang, Junjia Wang, Zihao Qin, Nana Hu, Jiawei Tian, Hao Cui, Lei Zhang

“…Informative characteristics were screened through univariate and multivariable Cox regression in the training cohorts and used to develop nomograms for predicting recurrence. The predictive accuracy was calculated using Harrell's C‐index and calibration curves. …”
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Prediction of Residual Gas Content during Coal Roadway Tunneling Based on Drilling Cuttings Indices and BA-ELM Algorithm by Zhenhua Yang, Hongwei Zhang, Sheng Li, Chaojun Fan

“…In order to predict the residual gas content in coal seam in front of roadway advancing face accurately and rapidly, an improved prediction method based on both drilling cuttings indices and bat algorithm optimizing extreme learning machine (BA-ELM) was proposed. …”
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Channel Mixer Layer: Multimodal Fusion Toward Machine Reasoning for Spatiotemporal Predictive Learning of Ionospheric Total Electron Content by Peng Liu, Tatsuhiro Yokoyama, Takuya Sori, Mamoru Yamamoto

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Grading Prediction of Enterprise Financial Crisis Based on Nonlinear Programming Evaluation: A Case Study of Chinese Transportation Industry by Zhi-yuan Li

“…As the core of the effective financial crisis prevention, enterprise finance crisis prediction has been the focal attention of both theorists and businessmen. …”
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Bearing Response Prediction in Hydrothermal Aged Carbon Fiber Reinforced Epoxy Composite Joints Using Machine Learning Techniques by Mohit Kumar, Govind Vashishtha, Babita Dhiman, Sumika Chauhan

“…The work focuses on predicting the bearing response in hydrothermal-aged carbon fiber-reinforced epoxy composite (CFREC) joints through the utilization of machine learning techniques. …”
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In silico study about β-amyloid’s role in Alzheimer’s disease and glaucoma and prediction of its interactions with glaucoma related proteins by Nancy Maurya

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Synthesis, DFT Analysis, and Evaluation of Antibacterial and Antioxidant Activities of Sulfathiazole Derivatives Combined with In Silico Molecular Docking and ADMET Predictions by Yoseph Samuel, Ankita Garg, Endale Mulugeta

“…Drug likeness and ADMET of synthesized compounds were predicted. The DFT analysis of synthesized compounds was performed using Gaussian 09 and visualized through Gauss view 6.0. …”
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Correlation between Surface Energy and Adhesion Force of Polyethylene/Paperboard: A Predictive Tool for Quality Control in Laminated Packaging by Danielle M. F. Madeira, Osvaldo Vieira, Luís Antonio Pinheiro, Benjamim de Melo Carvalho

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Spatial-temporal evolution and multi-scenario prediction of carbon emissions from land use in the adjacent areas of nature reserves by Yuan Li, Yu-Ling Peng, Wei-Ying Cheng, Hao-Na Peng

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Leveraging dynamics informed neural networks for predictive modeling of COVID-19 spread: a hybrid SEIRV-DNNs approach by Cheng Cheng, Elayaraja Aruchunan, Muhamad Hifzhudin Noor Aziz

“…This work integrates differential equations with deep neural networks to predict time-varying parameters in the SEIRV model. …”
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Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer by Weijie Tang, Jiayan Chen, Dongjiao Chen

“…To address the issue of low SOH prediction accuracy across different prediction lengths, this paper proposes a prediction method based on long-short-term battery degradation feature extraction and FEA-TimeMixer model. …”
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