Eosinophilia predicts poor clinical outcomes in recent-onset arthritis: results from the ESPOIR cohort by Sandrine Jousse-Joulin, Alain Saraux, Thierry Marhadour, Divi Cornec, Gilles Chiocchia, Valérie Devauchelle-Pensec, Gabriel J Tobón, Dewi Guellec, Morgane Milin, Olivier Vittecocq

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Human-machine interactions with clinical phrase prediction system, aligning with Zipf's least effort principle? by Jamil Zaghir, Mina Bjelogrlic, Jean-Philippe Goldman, Julien Ehrsam, Christophe Gaudet-Blavignac, Christian Lovis

“…This work reports on a large-scale observational study focused on the language use of clinicians interacting with a phrase prediction system in a clinical setting. By adopting principles of adaptation to evolutionary selection pressure, we attempt to identify the major determinants of language emergence specific to this context. …”
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Author Correction: AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

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Augmented Feedback Response Prediction by Peak Vertical Ground Reaction Force in Adolescent Female Athletes by Hannah Jaime, Drew Rutherford, Becky Heinert, C. Nate Vannatta, Sherwin Toribio, Thomas W Kernozek

“…Only 23 participants (16.4%) did not respond to training. Baseline vGRF predicted post-feedback vGRF and transfer task vGRF (R2=0.508 and R2=0.400) across all participants. …”
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Revolutionizing Management Accounting: The Role of Artificial Intelligence in Predictive Analytics, Automated Reporting, and Decision-Making by Milos Pavlovic, Cedomir Gligoric, Filip Zdravkovic, Danijela Pavlovic

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Deep Learning-Based Robust Automated System for Predicting Human Sperm DNA Fragmentation Index by Roopini Sathiasai Kumar, Swapnil Sharma, Arunima Halder, Vipin Gupta

“…Our approach consists of a training and prediction phase. The 30 patients' images were divided into training (24) and prediction (6) sets. …”
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Multiphoton imaging-based quantifiable collagen signatures for predicting outcomes in patients with pancreatic ductal adenocarcinoma by Xiwen Chen, Jikui Miao, Xingxin Huang, Xiahui Han, Liqin Zheng, Jianxin Chen, Linying Chen, Lianhuang Li

“…Here, we aimed to enhance the prognostic prediction of patients with PDAC by studying collagen features in tumor microenvironment using multiphoton microscopy (MPM) combining with image processing technique. …”
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Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan by John Karongo, Joseph Ivivi Mwaniki, John Ndiritu, Victor Mokaya

“…DT and XGboost both had an accuracy close to 80% and less prediction error. Predicting 2021 sorghum yield, XGboost, DT and RF models yielded best combination of metrics with good accuracy. …”
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Climate Analysis to Predict Potential Spread and Seasonality for Global (COVID-19) in Iraqi Kurdistan Region by Hemin Nasraldin M. Amin, Hero Nasraldin M. Amin

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Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction by Waqar A. Sulaiman, Charithea Stylianides, Andria Nikolaou, Andria Nikolaou, Zinonas Antoniou, Ioannis Constantinou, Lakis Palazis, Anna Vavlitou, Theodoros Kyprianou, Theodoros Kyprianou, Efthyvoulos Kyriacou, Antonis Kakas, Antonis Kakas, Marios S. Pattichis, Andreas S. Panayides, Constantinos S. Pattichis, Constantinos S. Pattichis

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Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach by Junyoung Byun, Jaewook Lee, Hyeongyeong Lee, Bumho Son

Subjects: “…Bank failure prediction…”
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The 2023 Mw 7.8–7.7 Kahramanmaraş earthquakes were loosely slip-predictable by Ellis Vavra, Yuri Fialko, Fatih Bulut, Aslı Garagon, Sefa Yalvaç, Cenk Yaltırak

“…We find that the coseismic slip equaled to or exceeded the accumulated slip deficit, suggesting that the slip-predictable recurrence model applies as a lower bound on strain release during the Kahramanmaraş earthquakes.…”
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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data by Tian Xia, Lanju Zhou, Khalil Ahmad

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Frailty risk prediction models for patients undergoing maintenance hemodialysis in China: a systematic review by Yu Zhong, Songmei Cao, Liangying Chen, Teng Li, Wei Ye

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Unconfined Compressive Strength Prediction of Rocks Using a Novel Hybrid Machine Learning Algorithm by Rafiqul Islam, Md. Arif Hossain

“…This ensures a very strong and reliable UCS prediction method that is vital for the improvement of civil engineering project safety and efficiency.…”
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Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach by Umm-e-Laila Mehdi, Khalid Mahboob, Samar Raza Talpur, Khaliq Ahmed, Mohammad Khurram

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Optimizing Obstructive Sleep Apnea Risk Assessment in Hypertension: Development of a Predictive Nomogram in China by Yang Y, Sun X, Liang J, Liao WF, Ye W, Zheng Z, Du L, Chen M, Zhang Y, Lin W, Huang J, Yao W, Chen R

“…DCA and CICA showed that the nomogram is clinically useful.Conclusion: The nomogram predictive model consisting of the five indicators (gender, age, BMI, NC and ESS) can be useful in determining OSA risk in patients with hypertension. …”
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An Electronic Frailty Index Based on Deficit Accumulation May Predict Glaucomatous Visual Field Progression by Duy W, Pajewski N, Williamson JD, Thompson AC

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Prediction of Reproductive Outcomes of Intracytoplasmic Sperm Injection Cycles Using a Multivariate Scoring System by Ahmed Abuelsoud Abden, Momen Ahmed Kamel, Ahmed Nabil Fetih, Ali Haroun Yousef

“…A multivariate scoring system proposed by Younis et al., 2010, was amongst the predictive models used to evaluate IVF/ICSI success. …”
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Applying in machine learning and deep learning in finance industry: A case study on repayment prediction by Nguyễn Phát Đạt, Hồ Mai Minh Nhật, Trương Công Vinh, Lê Quang Chấn Phong, Lê Hoành Sử

“…Following methodological refinement, it becomes apparent that ensemble learning approaches, exemplified by XGB and LGBM, exhibit markedly superior predictive performance, surpassing conventional models with an accuracy rate exceeding 85%. …”
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