Integrating 7-day D-dimer exposure into deep vein thrombosis risk prediction after gastrointestinal surgery by Shuwei Weng, Chen Ding, Die Hu, Likui Huang, Daoquan Peng

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A comparative study of hybrid adaptive neuro-fuzzy inference systems to predict the unconfined compressive strength of rocks by Wei Cao

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Machine‐Learning Prediction of Bleeding After Endoscopic Submucosal Dissection for Early Gastric Cancer: A Multicenter Study by Hiroki Maruyama, Kazuya Takahashi, Kosuke Kojima, Nao Nakajima, Hiroki Sato, Ken‐ichi Mizuno, Soichi Sugitani, Shuji Terai

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Using machine learning to predict depression among middle-aged and elderly population in China and conducting empirical analysis. by Zhe Wang, Ni Jia

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BAYESIAN ADDITIVE REGRESSION TREE APPLICATION FOR PREDICTING MATERNITY RECOVERY RATE OF GROUP LONG-TERM DISABILITY INSURANCE by Stevanny Budiana, Felivia Kusnadi, Robyn Irawan

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DCE-MRI quantitative analysis and MRI-based radiomics for predicting the early efficacy of microwave ablation in lung cancers by Chen Yang, Fandong Zhu, Jing Yang, Min Wang, Shijun Zhang, Zhenhua Zhao

“…Abstract Objectives To evaluate the feasibility and value of dynamic contrast-enhanced MRI (DCE-MRI) quantitative analysis and MRI-based radiomics in predicting the efficacy of microwave ablation (MWA) in lung cancers (LCs). …”
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Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption. by Abrar Ahmed, Safdar Ali, Ali Raza, Ibrar Hussain, Ahmad Bilal, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

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RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network by Jiaping Shen, Haiting Zhou, Muda Jin, Zhongping Jin, Qiang Wang, Yanchun Mu, Zhiming Hong

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A retrospective cohort study using machine learning to predict coronary artery lesions in children with Kawasaki disease by Yanan Duan, Aiping Chen, Xuedi Cheng

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Trend in obesity prevalence in European adult cohort populations during follow-up since 1996 and their predictions to 2015. by Anne von Ruesten, Annika Steffen, Anna Floegel, Daphne L van der A, Giovanna Masala, Anne Tjønneland, Jytte Halkjaer, Domenico Palli, Nicholas J Wareham, Ruth J F Loos, Thorkild I A Sørensen, Heiner Boeing

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Identification of Vesicle‐Mediated Transport‐Related Genes for Predicting Prognosis, Immunotherapy Response, and Drug Screening in Cervical Cancer by Shuai Lou, Hongqing Lv, Lin Zhang

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Air quality prediction using stacked bi- long short-term memory and convolutional neural network in India by S Karkuzhali, Thendral Puyalnithi, R Nirmalan

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Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME by Md. Manowarul Islam, Habibur Rahman Rifat, Md. Shamim Bin Shahid, Arnisha Akhter, Md Ashraf Uddin, Khandaker Mohammad Mohi Uddin

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Predicting liver metastasis in pancreatic neuroendocrine tumors with an interpretable machine learning algorithm: a SEER-based study by Jinzhe Bi, Yaqun Yu

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The clinical value of dynamic monitoring of complete blood count in predicting immunoglobulin resistance in Chinese children with Kawasaki disease by Xiaoqian Fang

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Battery Health Prediction with Singular Spectrum Analysis and Grey Wolf Optimized Long Short-Term Memory Networks by Chengti Huang, Na Li, Jianqing Zhu, Shengming Shi

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Prediction of Anthocyanin Content in Purple-Leaf Lettuce Based on Spectral Features and Optimized Extreme Learning Machine Algorithm by Chunhui Liu, Haiye Yu, Yucheng Liu, Lei Zhang, Dawei Li, Junhe Zhang, Xiaokai Li, Yuanyuan Sui

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Leveraging diverse liquid–liquid phase separation patterns to predict the prognosis and immunotherapy of pediatric acute myeloid leukemia by Min Kong, Yezhen Yang, Zhixiang Wu, Ying Li, Zhijuan Kang, Qin Zhao, Huan Chang, Zuocheng Yang

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Machine learning algorithms for prediction of cerebrospinal fluid leakage after posterior surgery for thoracic ossification of the ligamentum flavum by Ruizhou Guo, Ben Liu, Yunqi Wu, Yilu Zhang, Xiyang Wang, Dingyu Jiang, Zheng Liu

“…A SMOTE-enhanced, isotonic-calibrated SVM provides accurate and reliable CSFL risk estimation in TOLF patients and is freely available as an online tool ( https://github.com/DebtVC2022/CSFL_predict ). The model supports preoperative risk stratification, patient counselling, and peri-operative management, yet requires prospective, multicentre validation to establish broad clinical utility.…”
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Intelligent Prediction of the Horizontal Deformation During the Excavation Process Based on Particle Swarm Optimisation and Support Vector Machine by Yu Zhang, Chen Zhang, Zhiduo Zhu, Liu Yang, Hao Tang

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