Pro‐adrenomedullin as an independent predictive biomarker for heart failure in atrial fibrillation and flutter by Gaifeng Hu, Xiaodong Peng, Liu He, Yiwei Lai, Nian Liu, Xin Li, Caihua Sang, Jianzeng Dong, Changsheng Ma

“…Kaplan–Meier survival analysis and area under the receiver operating characteristic (ROC) curve assessments were conducted to evaluate predictive performance. Results Over a follow‐up of 14.2 years, 222 cases (21.1%) of HF were documented in the discovery cohort, while 117 cases (38.4%) occurred over 13.8 years in the replication cohort. …”
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Identifying G-Protein Coupled Receptors Using Mixed-Feature Extraction Methods and Machine Learning Methods by Chunyan Ao, Lin Gao, Liang Yu

“…We combine three individual features, such as 400D, N-gram and Parallel correlation pseudo amino acid composition (PC-PseAAC), using mixed-feature representation methods, which are evaluated by Random Forest, Naïve Bayes, and J48 for classification purposes. …”
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Angiogenesis Dynamics: A Computational Model of Intravascular Flow Within a Structural Adaptive Vascular Network by Sahar Jafari Nivlouei, Ana Guerra, Jorge Belinha, Naside Mangir, Sheila MacNeil, Christiane Salgado, Fernando Jorge Monteiro, Renato Natal Jorge

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A predictive analytics approach with Bayesian-optimized gentle boosting ensemble models for diabetes diagnosis by Behnaz Motamedi, Balázs Villányi

“…Effective disease management necessitates the accurate and timely prediction of lung cancer and diabetes. Machine learning (ML) based models have garnered attention in the realm of predictive healthcare, with ensemble methods, in particular, bolstering algorithms to improve classification performance. …”
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EFFICACY OF EXTRACORPOREAL ELECTROMAGNETIC STIMULATION FOR THE TREATMENT OF URINARY INCONTINENCE AND THE PREDICTIVE FACTORS FOR SATISFACTION by Funda Güngör Uğurlucan, Cenk Yaşa, Nalan Çapan, İnci Sema Taş, Emircan Ertürk, Önay Yalçın

“…We aim to analyze the subjective and objective outcomes of ExMS treatment and evaluate factors that could predict satisfaction. Material and Method: Patients who underwent ExMS treatment for UI were evaluated. …”
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Distributed Model Predictive Cross-Dimensional Formation Control for Heterogeneous Multiagent Systems by Haitao Liu, Zhaoxin Li, Qingqun Mai, Haochun Liu, Xuehong Tian

“…In this paper, a distributed predefined-time model predictive formation control method is proposed for second-order multidimensional cross-dimensional heterogeneous multiagent systems (HMASs) with collision avoidance, switching topology and formation transformation. …”
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Predictive Modeling of the Softness of Facial Tissue Products: A Spectral Analysis Approach by Yong Ju Lee, Ji Eun Cha, Geon-Woo Kim, Tai-Ju Lee, Hyoung Jin Kim

“…This work highlights the potential of combining spectral analysis and machine learning for objective softness evaluation.…”
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Utilizing machine learning for predictive maintenance of production machinery in small and medium enterprises by Yopa Eka Prawatya, Noveicalistus H Djanggu, Ratih Rahmahwati

“…Machine learning is a pertinent statistical method for predictive maintenance, enabling the early detection of machine failures and the implementation of preventive measures through a model. …”
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Advanced Deep Learning Based Predictive Maintenance of DC Microgrids: Correlative Analysis by M. Y. Arafat, M. J. Hossain, Li Li

“…The achieved decremental MAE scores from 12.102 (advanced RNN) to 10.182 (advanced GRU) to 8.263 (advanced LSTM) and incremental R² scores from 0.941 (advanced RNN) to 0.958 (advanced GRU), and finally to 0.971 (advanced LSTM) demonstrate strong predictive capabilities of all, while the proposed advanced LSTM method outperforming other counterparts. …”
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Efficacy and predictive biomarkers of immunotherapy in Epstein-Barr virus-associated gastric cancer by Lin Shen, Xiaochen Zhao, Zhenghang Wang, Yuezong Bai, Feilong Zhao, Zhi Peng, Jinping Cai, Tong Xie, Shuang Tong, Xiaofan Wei

“…The value of EBV infection for predicting ICB efficacy was evaluated among 95 patients with advanced or metastatic GC receiving ICB. …”
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An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines by Sema Nur Ipek, Nur Bekiroglu, Murat Taskiran

“…Thus, the model’s capacity to accurately predict parameters and represent machine behavior has been revealed, and this method offers a feasible option for the effective use of resources, such as time and labor, in the estimation of PMSM parameters.…”
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Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients by Wenwei Zuo, Xuelian Yang

“…The objective of this study was to develop and validate an interpretable predictive model to assess the risk of depression in stroke patients using machine learning (ML) methods. …”
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The development and validation of a column chart for predicting the regression risk of CIN2 by Jingjing Ren, Hui Wang, Xiu Zhang, Min Hao

“…Receiver operating characteristic (ROC) curve and resampling methods were employed to evaluate the predictive model in terms of accuracy and calibration. …”
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A machine learning-based risk prediction model for diabetic oral ulceration by Wang Xiaoling, Wang BingQian, Zhu Zhenqi, Li Wen, Gu Shuyan, Chen Hanbei, Xin Feng, Chenglong Yang, Jutang li, Guoyao Tang, Jie Wei

“…Methods This study aimed to develop an ML-based predictive model for DOU using oral examination, clinical, and socioeconomic data. …”
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Exploring Adiponectin and Leptin Levels as Potential Biomarkers in Osteoporosis Pathogenesis by Manal F. Al-Khakani, Mundher Mudhafar, Muna Sadeq Hameed

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Development and validation of a depression risk prediction model for rural elderly living alone by Shasha Gao, Huijun Zhang

“…Methods Using data from the 2011 China Health and Retirement Longitudinal Study (CHARLS), we included 1,221 participants. …”
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Preoperative prediction of flexible ureteroscopy outcome in the treatment of renal calculi by Mohammed Abozaid, Eid Elsherif, Fatma Elserafy, Islam Abobakr, Mohamed Selim

“…Abstract Background Retrograde intrarenal surgery (RIRS) is increasingly used for management of renal calculi. Many predictive scores have been devised to predict stone-free rate (SFR) after RIRS including Ito’s nomogram. …”
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Investigating the Predictive Value of Neutrophil to Lymphocyte Ratio on Radiation Therapy Outcomes: A Cohort Study by Muniba Alim, Shamila Alim, Shahid Siddiqui, Md Asif Khan

“…Tumour response was evaluated and statistical analysis was performed using Statistical Package for the Social Sciences (SPSS) version 23.0 to find the association between NLR and Complete Response (CR). …”
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From Surveillance to Sentencing: Evaluating AI's Role in Indian Criminal Justice by Kumar Navin

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Nomogram for spontaneous reduction in pediatric intussusception: a retrospective study by Guangyu Wang, Zhongce Li, Guangqi Duan, Bangzhi Sui, Zhiyuan Jin, Zhenjie Chu, Rui Tang, Xiao Wang, Honglong Ma, Shiqin Qi, Jie Liu

“…ObjectiveThis study aimed to develop a nomogram to predict the probability of spontaneous reduction of intussusception (SROI) in pediatric patients.MethodsClinical data of children diagnosed with intussusception and admitted to two hospitals in China from May 2023 to December 2024 were retrospectively analyzed. …”
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