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2025	Risk warning model for predicting sleep disorders in healthcare workers on long-term shifts Sleep and Biological Rhythms Xin Li, Long Xiao, Benqi Shi, Nian Liu, Lian Dong, Ruibing Lyu, Minghui Qian
2025	Combining knowledge distillation and neural networks to predict protein secondary structure Scientific Reports Lufei Zhao, Jingyi Li, Biao Zhang, Xuchu Jiang
2025	Machine learning-based reconstruction of prognostic staging for gastric cancer patients with different differentiation grades: A multicenter retrospective study World Journal of Gastroenterology Yong-Le Zhang, Hai-Bin Song, Ying-Wei Xue
2025	Chronic kidney Disease Classification through Hybrid Feature Selection and Ensemble Deep Learning International Journal of Statistics in Medical Research N. Yogesh, Purohit Shrinivasacharya, Nagaraj Naik, B.M. Vikranth
2025	Construction of a prognostic prediction model for colorectal cancer based on 5-year clinical follow-up data Scientific Reports Boao Xiao, Min Yang, Yao Meng, Weimin Wang, Yuan Chen, Chenglong Yu, Longlong Bai, Lishun Xiao, Yansu Chen
2025	Integrated analysis of shared gene expression signatures and immune microenvironment heterogeneity in type 2 diabetes mellitus and colorectal cancer Scientific Reports Zhaohui Wu, Liuliu Cao, Jie Zhao
2025	An Invariant Geometric Feature for Inter-Subject Lumbar Curve Alignment to Detect Spondylolisthesis IEEE Access Podchara Klinwichit, Watcharaphong Yookwan, Athita Onuean, Paramate Horkaew, Sornsupha Limchareon, Jun-Su Jang, Suwanna Rasmequan, Krisana Chinnasarn
2025	An enhanced alpha evolution moss growth optimizer for prognostic prediction in spontaneous intracerebral hemorrhage Journal of Big Data Lingxian Hou, Yongsheng Wang, Xiuqi Lin, Chengye Li, Huangrong Guo, Congcong Jin, Yi Chen, Huiling Chen, Jing Ji, Wenzong Zhu
2025	2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) Kokkula Shiva Prasad, S Jana
2024	An ensemble framework for risk prediction of left atrial thrombus based on undersampling with replacement Neural Computing and Applications Li Li, Dongshen Fang, Qiyao Ye, Tan Hu, Shaobo Shi
2024	Machine learning based tuberculosis (ML-TB) health predictor model: early TB health disease prediction with ML models for prevention in developing countries PeerJ Computer Science Priyanka Karmani, Aftab Ahmed Chandio, Imtiaz Ali Korejo, Oluwarotimi Williams Samuel, Majed Aborokbah
2024	Machine learning approaches to identify the link between heavy metal exposure and ischemic stroke using the US NHANES data from 2003 to 2018 Frontiers in Public Health Yierpan Zibibula, Gulifeire Tayier, Aierpati Maimaiti, Tianze Liu, Jinshuai Lu
2024	Identification of key immune-related genes and potential therapeutic drugs in diabetic nephropathy based on machine learning algorithms BMC Medical Genomics Chang Guo, Wei Wang, Ying Dong, Yubing Han
2024	Multi-class Financial Distress Prediction Based on Feature Selection and Deep Forest Algorithm Computational Economics Xiaofang Chen, Zengli Mao, Chong Wu
2024	MRI Brain Tumor Classification Using HOG Features Selected via Impurity Based Importance Measure International Journal of Electrical and Electronics Research Yasser Nizamli, Anton Filatov
2024	2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC) Manikanth Sarisa, Gagan Kumar Patra, Chandrababu Kuraku, Siddharth Konkimalla, Shravan Kumar Rajaram, Mohit Surender Reddy
2023	A Machine Learning Framework Based on Extreme Gradient Boosting to Predict the Occurrence and Development of Infectious Diseases in Laying Hen Farms, Taking H9N2 as an Example Animals Yu Liu, Yanrong Zhuang, Ligen Yu, Qifeng Li, Chunjiang Zhao, Rui Meng, Jun Zhu, Xiaoli Guo
2023	TDMO: Dynamic multi-dimensional oversampling for exploring data distribution based on extreme gradient boosting learning Information Sciences Liyan Jia, Zhiping Wang, Pengfei Sun, Zhaohui Xu, Sibo Yang
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