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2025	A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation Journal of Medical Internet Research Ji Won Min, Jae-Hong Min, Se-Hyun Chang, Byung Ha Chung, Eun Sil Koh, Young Soo Kim, Hyung Wook Kim, Tae Hyun Ban, Seok Joon Shin, In Young Choi, Hye Eun Yoon
2025	Integrating Pre- and Postoperative Systemic Inflammatory Markers for Acute Kidney Injury Prediction Following Radical Cystectomy: A Multi-Center Retrospective Study Journal of Inflammation Research Zhongqi Liu, Peng Fan, Yanan Lu, Minghui Cao, Weifeng Yao, Dongtai Chen, Fengtao Ji
2024	A deep learning approach for acute liver failure prediction with combined fully connected and convolutional neural networks Technology and Health Care Hefu Xie, Bingbing Wang, Yuanzhen Hong
2024	Alternative Polyadenylation Regulatory Factors Signature for Survival Prediction in Kidney Renal Cell Carcinoma Cancer Informatics Xiaoyu Wang, Yao Lin, Zheng Li, Yueqi Li, Mingcong Chen
2024	Detection of circulating plasma cells in peripheral blood using deep learning‐based morphological analysis Cancer Pu Chen, Lan Zhang, Xinyi Cao, Xinyi Jin, Nan Chen, Li Zhang, Jianfeng Zhu, Baishen Pan, Beili Wang, Wei Guo
2024	Development and validation of a machine learning-based early prediction model for massive intraoperative bleeding in patients with primary hepatic malignancies World Journal of Gastrointestinal Oncology Jin Li, Yu-Ming Jia, Zhi-Lei Zhang, Cheng-Yu Liu, Zhan-Wu Jiang, Zhi-Wei Hao, Li Peng
2024	Comparing advanced and traditional machine learning algorithms for construction duration prediction: a case study of Addis Ababa’s public sector Engineering Research Express Soreti M Liben, Demiss A Belachew, Walied A Elsaigh
2023	Machine learning for acute kidney injury: Changing the traditional disease prediction mode Frontiers in Medicine Xiang Yu, Yuwei Ji, Mengjie Huang, Zhe Feng
2023	Characterization of Risk Prediction Models for Acute Kidney Injury JAMA Network Open Yunlin Feng, Amanda Y. Wang, Min Jun, Lei Pu, Steven D. Weisbord, Rinaldo Bellomo, Daqing Hong, Martin Gallagher
2023	2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Somya Mangla, Piyush Saini, Anant Kumar Jayswal, Kaushikee Sanyal, Swapnanil Pal
2023	2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Prakhar Dubey, Divyanshu Srivastava, Kunal Singh, Ms. Veenu Singh
2023	Artificial Intelligence and Machine Learning in Perioperative Acute Kidney Injury Advances in Kidney Disease and Health Kullaya Takkavatakarn, Ira S. Hofer
2022	Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer Cancer Research and Treatment Mohamed Hosny Osman, Reham Hosny Mohamed, Hossam Mohamed Sarhan, Eun Jung Park, Seung Hyuk Baik, Kang Young Lee, Jeonghyun Kang
2022	Top 100 Most-Cited Publications on Breast Cancer and Machine Learning Research: A Bibliometric Analysis Current Medicinal Chemistry Tengku Muhammad Hanis, Md Asiful Islam, Kamarul Imran Musa
2022	Proceedings of the 5th International Conference on Big Data and Education Nasir Abdul Jalil, Mikkay Wong Ei Leen
2022	Predicting difficult airway intubation in thyroid surgery using multiple machine learning and deep learning algorithms Frontiers in Public Health Cheng-Mao Zhou, Ying Wang, Qiong Xue, Jian-Jun Yang, Yu Zhu
2021	Skin autofluorescence as a novel predictor of acute kidney injury after liver resection World Journal of Surgical Oncology Maciej Krasnodębski, Karolina Grąt, Marcin Morawski, Jan Borkowski, Piotr Krawczyk, Andriy Zhylko, Michał Skalski, Piotr Kalinowski, Krzysztof Zieniewicz, Michał Grąt
2021	Predicting intraoperative bleeding in patients undergoing a hepatectomy using multiple machine learning and deep learning techniques Journal of Clinical Anesthesia Qiong Xue, Yu Zhu, Lihua Yang, Wen Duan, Zeping Li, Muhuo Ji, Jianhua Tong, Jian-Jun Yang, Cheng-Mao Zhou
2021	Machine Learning Can Predict Total Death After Radiofrequency Ablation in Liver Cancer Patients Clinical Medicine Insights: Oncology Jianhua Tong, Panmiao Liu, Muhuo Ji, Ying Wang, Qiong Xue, Jian-Jun Yang, Cheng-Mao Zhou
2021	Comparison of Prediction Models for Acute Kidney Injury Among Patients with Hepatobiliary Malignancies Based on XGBoost and LASSO-Logistic Algorithms International Journal of General Medicine Yunlu Zhang, Yimei Wang, Jiarui Xu, Bowen Zhu, Xiaohong Chen, Xiaoqiang Ding, Yang Li
2021	Does Artificial Intelligence Make Clinical Decision Better? A Review of Artificial Intelligence and Machine Learning in Acute Kidney Injury Prediction Healthcare Tao Han Lee, Jia-Jin Chen, Chi-Tung Cheng, Chih-Hsiang Chang
2021	A comprehensive comparison of residue-level methylation levels with the regression-based gene-level methylation estimations by ReGear Briefings in Bioinformatics Jinpu Cai, Yuyang Xu, Wen Zhang, Shiying Ding, Yuewei Sun, Jingyi Lyu, Meiyu Duan, Shuai Liu, Lan Huang, Fengfeng Zhou
2021	Employment of Artificial Intelligence Based on Routine Laboratory Results for the Early Diagnosis of Multiple Myeloma Frontiers in Oncology Wei Yan, Hua Shi, Tao He, Jian Chen, Chen Wang, Aijun Liao, Wei Yang, Huihan Wang
2020	Predicting CoVID-19 community mortality risk using machine learning and development of an online prognostic tool PeerJ Ashis Kumar Das, Shiba Mishra, Saji Saraswathy Gopalan
2020	Promises of Big Data and Artificial Intelligence in Nephrology and Transplantation Journal of Clinical Medicine Charat Thongprayoon, Wisit Kaewput, Karthik Kovvuru, Panupong Hansrivijit, Swetha R. Kanduri, Tarun Bathini, Api Chewcharat, Napat Leeaphorn, Maria L. Gonzalez-Suarez, Wisit Cheungpasitporn
2020	Predicting Acute Kidney Injury after Cardiac Surgery by Machine Learning Approaches Journal of Clinical Medicine Charat Thongprayoon, Panupong Hansrivijit, Tarun Bathini, Saraschandra Vallabhajosyula, Poemlarp Mekraksakit, Wisit Kaewput, Wisit Cheungpasitporn
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