Development and validation of a risk prediction model for caesarean delivery among multiparous women by Nigus Bililign Yimer, Eskedar Getie Mekonnen

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A dual branch model for predicting microseismic magnitude time series named DTFNet by Hao Luo, Zhongyi Liu, Yishan Pan, Liang Wang, Chao Kong, Huan Zhang

“…Due to the complexity and nonlinearity of microseismic data, conventional time series prediction models struggle to forecast them accurately. …”
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Heating value prediction model of Acacia mangium Willd using near infrared spectroscopy by Pambudi Suluh, Saechua Wanphut

“…This study reported the prediction model of heating value for the Acacia mangium Willd which is the promoted as energy plant for the farmer to grow in the farm. …”
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Deep learning for predicting rehospitalization in acute heart failure: Model foundation and external validation by Mi‐Na Kim, Yong Seok Lee, Youngmin Park, Ayoung Jung, Hanjee So, Joonwoong Park, Jin‐Joo Park, Dong‐Joo Choi, So‐Ree Kim, Seong‐Mi Park

“…To address this need, various risk prediction models have been developed. However, none of them used deep learning methods with real‐world data. …”
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Developing a machine learning model for predicting varicocelectomy outcomes: a pilot study by Coşkun Kaya, Mehmet Erhan Aydın, Özer Çelik, Aykut Aykaç, Mustafa Sungur

“…We aimed to develop a model to predict the improvement in semen parameters after varicocelectomy using ML.The data for male patients who had clinical varicocele, abnormal semen parameters (low sperm concentration, reduced total motile sperm count, decreased progressive motility, and/or poor sperm morphology) and had received a varicocelectomy were recorded retrospectively. …”
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Pathological omics prediction of early and advanced colon cancer based on artificial intelligence model by Zhe Wang, Yang Wu, Yingjie Li, Qingwen Wang, Hongfei Yi, Hongyan Shi, Xinyue Sun, Chengxiang Liu, Kuanyu Wang

“…The aim of this study was to develop an AI model based on whole-slide images to predict the stage of colon cancer. …”
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A systematic review of dengue outbreak prediction models: Current scenario and future directions. by Xing Yu Leung, Rakibul M Islam, Mohammadmehdi Adhami, Dragan Ilic, Lara McDonald, Shanika Palawaththa, Basia Diug, Saif U Munshi, Md Nazmul Karim

“…Dengue is among the fastest-spreading vector-borne infectious disease, with outbreaks often overwhelm the health system and result in huge morbidity and mortality in its endemic populations in the absence of an efficient warning system. A large number of prediction models are currently in use globally. As such, this study aimed to systematically review the published literature that used quantitative models to predict dengue outbreaks and provide insights about the current practices. …”
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Building a machine learning-based risk prediction model for second-trimester miscarriage by Sangsang Qi, Shi Zheng, Mengdan Lu, Aner Chen, Yanbo Chen, Xianhu Fu

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Enhancing Traffic Speed Prediction Accuracy: The Multialgorithmic Ensemble Model With Spatiotemporal Feature Engineering by Ali Ardestani, Hao Yang, Saiedeh Razavi

“…Traditional traffic prediction models often fall short due to their inability to capture the complex and dynamic nature of traffic flow. …”
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Predicting the distribution of Ixodes ricinus in Europe: integrating microclimatic factors into ecological niche models by Arda Cem Kuyucu, Olcay Hekimoglu, Ala Tabor

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Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization by Jia-Chi Jiang, Nien-Hsun Li, Mo Chen, Kuan-Chung Chen, Chih-Hua Chang

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Prediction of virus-host associations using protein language models and multiple instance learning. by Dan Liu, Francesca Young, Kieran D Lamb, David L Robertson, Ke Yuan

“…It also identifies important viral proteins that significantly contribute to host prediction. The method combines a pre-trained large protein language model (ESM) and attention-based multiple instance learning to allow protein-orientated predictions. …”
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Dynamic Error Compensation for Ball Screw Feed Drive Systems Based on Prediction Model by Hongda Liu, Yonghao Guo, Jiaming Liu, Wentie Niu

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An ensemble model for predicting dyslipidemia using 3-years continuous physical examination data by Naiwen Zhang, Xiaolong Guo, Xiaxia Yu, Zhen Tan, Zhen Tan, Feiyue Cai, Feiyue Cai, Ping Dai, Jing Guo, Guo Dan

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Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination by Yunjeong Choi, Jaeyu Park, Hyejun Kim, Young Joo Lee, Yongbin Lee, Yong Sung Choi, Seung Geun Yeo, Jiseung Kang, Masoud Rahmati, Hayeon Lee, Dong Keon Yon, Jinseok Lee

“…We aimed to develop a machine learning (ML) model to predict post-vaccination AUB in women aged less than 50 years. …”
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A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma by Qiulu Zhong, Xiangde Li, Qinghua Du, Qianfu Liang, Danjing Luo, Jiaying Wen, Haiying Yue, Wenqi Liu, Xiaodong Zhu, Jian Li

“…Three machine learning algorithms were used to construct predictive models for the short-term efficacy of LANPC. …”
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Tweedie Model for Predicting Factors Associated with Distance Traveled to Access Inpatient Services in Kenya by Ngugi Mwenda, Mathew Kosgei, Gregory Kerich, Ruth Nduati

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Bayesian surrogate assisted neural network model to predict the hydrogen storage in 9-ethylcarbazole by Ahsan Ali, Mohammad Usman, Hafiz Muhammad Ali, Uzair Sajjad, Md. Abdul Aziz, M. Nasiruzzaman Shaikh

“…Among these, the BSGP-DNN model exhibited the highest predictive performance, achieving an R2 value of 0.89. …”
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Improving Cardiovascular Disease Prediction through Stratified Machine Learning Models and Combined Datasets by Tara Yousif Mawlood, Alla Ahmad Hassan, Rebwar Khalid Muhammed, Aso M. Aladdin, Tarik A. Rashid, Bryar A. Hassan

“…The integration of datasets, stratified sampling, and k-fold validation effectively enhanced model reliability while minimizing overfitting. These findings highlight the potential of ML to support early CVD diagnosis and lay the groundwork for future research on hybrid models and real-world clinical applications.…”
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Remaining Useful Life Prediction of Rolling Bearings Based on Policy Gradient Informer Model by Jiahao XIONG, Feng LI, Baoping TANG, Yongchao WANG, Ling LUO

Subjects: “…informer model…”
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