Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models by Eden T. Wasehun, Leila Hashemi Beni, Courtney A. Di Vittorio, Christopher M. Zarzar, Kyana R.L. Young

Get full text

A comprehensive risk model of disulfidoptosis-related lncRNAs predicts prognosis and therapeutic implications in bladder cancer by Zhixiong Zhang, Jinghua Zhong, Muhammad Sarfaraz Iqbal, Zhiwen Zeng, Xiaolu Duan

Get full text

Predicting the risk and trigger thresholds for propagation of meteorological droughts to agricultural droughts in China based on Copula-Bayesian model by Cuiping Yang, Changhong Liu, Xuguang Xing, Xiaoyi Ma

Get full text

Four-parameter beta mixed models with survey and sentinel 2A satellite data for predicting paddy productivity by Dian Kusumaningrum, Hari Wijayanto, Anang Kurnia, Khairil Anwar Notodiputro, Muhlis Ardiansyah, Islam MD Parvez

Get full text

A machine learning model for predicting lymph node positivity in ovarian cancer: development, validation, and clinical application by QingYong Guo, Jinji Wang, Ru Chen, LiPing Hu, Wenqiang You

“…Tumor size ≥5 cm, histological subtype, and chemotherapy were key predictive features, with SHAP analysis identifying tumor size as the most influential factor.ConclusionWe present the first machine learning model specifically developed for predicting lymph node positivity in OC, validated across large, diverse cohorts. …”
Get full text

Investigation on fracture behavior and prediction model of AA2219-T6 under the coupled effects of temperature and stress state by Cong Liu, Ji Qiu, Buyun Su, Zhiqiang Li, Xiaohu Yao, Xuefeng Shu

Get full text

Development and validation of a nomogram model for predicting the occurrence of necrotizing enterocolitis in premature infants with late-onset sepsis by Min Tao, Ling Yan, Yu Lang, Leilei Shen, Sheng Chen, Na Cai

“…R software was used to establish the nomogram prediction model. Internal validation was performed by bootstrapping 1,000 resamples to assess model stability. …”
Get full text

A New Model Based on 25-Hydroxyvitamin D3 for Predicting Active Crohn’s Disease in Chinese Patients by Sinan Lin, Ying Wang, Li Li, Peng Chen, Ren Mao, Rui Feng, Yun Qiu, Yao He, Baili Chen, Zhirong Zeng, Minhu Chen, Shenghong Zhang

Get full text

A two-parameter damage-controlled strength model to predict the fracturing of brittle rock mass at great depth by Songfeng Guo, Shengwen Qi, Shishu Zhang, Muhammad Faisal Waqar, Feng Xiong, Ning Liang, Bowen Zheng, Xingdong Ma, Fengjiao Tang

Get full text

Evolution and model prediction of mechanical ventilation temperature field in high-geotemperature tunnels: Experimental analysis and machine learning by Feng Huang, Song Wang, Shuping Jiang, Dong Yang, Zheng Hu, Aichen Zheng

Get full text

Comprehensive analysis on soil nitrogen prediction using near-infrared spectroscopy: Models, methods, and insights for precision agriculture by Xiaoyu Wang, Zhiyou Zhang, Yujiao Li, Jie Li, Qing Yang, Qiqi Liu, Zhijie Gong, Mengling Zhang, Xu Wang, Guanghui Xie

Get full text

A Prediction Model of Disease Progression in X-Linked Alport syndrome Based on Clinical Characteristics and Genetic Variants by Mengyao Zeng, Hongling Di, Jie Ding, Yanqin Zhang, Hong Xu, Jingyuan Xie, Jianhua Mao, Aihua Zhang, Guisen Li, Jiahui Zhang, Erzhi Gao, Dandan Liang, Qing Wang, Ling Wang, Yu An, Chunxia Zheng, Zhihong Liu

Get full text

Performance Comparison of 10 State-of-the-Art Machine Learning Algorithms for Outcome Prediction Modeling of Radiation-Induced Toxicity by Ramon M. Salazar, PhD, Saurabh S. Nair, MS, Alexandra O. Leone, MBS, Ting Xu, PhD, Raymond P. Mumme, BS, Jack D. Duryea, BA, Brian De, MD, Kelsey L. Corrigan, MD, Michael K. Rooney, MD, Matthew S. Ning, MD, Prajnan Das, MD, Emma B. Holliday, MD, Zhongxing Liao, MD, Laurence E. Court, PhD, Joshua S. Niedzielski, PhD

Get full text

Application Value of an AI-based Imaging Feature Parameter Model 
for Predicting the Malignancy of Part-solid Pulmonary Nodule by Mingzhi LIN, Yiming HUI, Bin LI, Peilin ZHAO, Zhizhong ZHENG, Zhuowen YANG, Zhipeng SU, Yuqi MENG, Tieniu SONG

Get full text

A hybrid system of mixture models for the prediction of particle size and shape, density, and flowability of pharmaceutical powder blends by Mohammad Salehian, Jonathan Moores, Jonathan Goldie, Isra' Ibrahim, Carlota Mendez Torrecillas, Ishwari Wale, Faisal Abbas, Natalie Maclean, John Robertson, Alastair Florence, Daniel Markl

Get full text

Impact of chemical composition on metabolizable energy and its prediction models in brewer's spent grains for broilers at different ages by Mingqiang Song, Kai Tian, Cong Ren, Youyou Liu, Xiaomeng Ye, Yuming Wang, Jingjing Xie, Feng Zhao

Get full text

The global distribution and risk prediction of Anaplasmataceae species: a systematic review and geospatial modelling analysisResearch in context by Xiao-Bin Huang, Tian Tang, Jin-Jin Chen, Yuan-Yuan Zhang, Chen-Long Lv, Qiang Xu, Guo-Lin Wang, Ying Zhu, Yue-Hong Wei, Simon I. Hay, Li-Qun Fang, Wei Liu

Get full text

Development of a Mathematical Model for Personalized Estimation of Life Expectancy in Ukraine by Vladyslav Malanin, Illya Chaykovsky

Get full text

Research on predictive control strategies for direct-drive wind turbines under power grid fault by ZHANG Yuewei, HAN Minxiao, ZHANG Mingyang

Get full text

Establishing a Predictive Model for the Occurrence of CI-AKI After PCI in Patients With Coronary Heart Disease Based on Serum-Derived Biomarkers by Qin-yu Sun, Min-jia Tang, Lin Shi, Yi-fan Deng, Zhen Fang, Jun Ji, Sheng-hu He, Jing Zhang

Get full text