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Heliyon|June 17, 2024
A one-year relapse prediction model for acute ischemic stroke (AIS) based on clinical big dataWenle Li, Zhendong Ding, Liangqun Rong, et al.
Database : the Journal of Biological Databases and Curation|November 18, 2021
HFIP: an integrated multi-omics data and knowledge platform for the precision medicine of heart failureJing Wu, Min Zhao, Tao Li, et al.
Cardiology Research and Practice|July 21, 2021
Development and Validation of a Risk Prediction Model for Ventricular Arrhythmia in Elderly Patients with Coronary Heart DiseaseYing Dong, Yajun Shi, Jinli Wang, et al.
Nutrition, Metabolism, and Cardiovascular Diseases : NMCD|July 27, 2023
Development of a prediction model for the risk of 30-day unplanned readmission in older patients with heart failure: A multicenter retrospective studyYang Zhang, Haolin Wang, Chengliang Yin, et al.
Frontiers in Endocrinology|June 12, 2023
Effect of surgical treatment on patients with stage T3 or T4 triple-negative breast cancer: a SEER-based retrospective observational studyJie Hu, Changling Dai, Yang Zhang, et al.
Computational Intelligence and Neuroscience|May 16, 2022
An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine LearningWenle Li, Wencai Liu, Fida Hussain Memon, et al.
Plos One|August 7, 2024
Artificial intelligence-assisted metastasis and prognosis model for patients with nodular melanomaChan Xu, Xiaoyu Yu, Zhendong Ding, et al.
Iscience|July 23, 2024
Explainable machine learning for predicting 30-day readmission in acute heart failure patientsYang Zhang, Tianyu Xiang, Yanqing Wang, et al.
Frontiers in Bioengineering and Biotechnology|September 18, 2023
Advances in the application of recombinase-aided amplification combined with CRISPR-Cas technology in quick detection of pathogenic microbesXiaoping Li, Shuying Zhu, Xinling Zhang, et al.
Peerj|December 22, 2023
A machine learning-based model for clinical prediction of distal metastasis in chondrosarcoma: a multicenter, retrospective studyJihu Wei, Shijin Lu, Wencai Liu, et al.
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