Construction and validation of a predictive model for the risk of myelosuppression after first-line chemotherapy in patients with advanced colorectal cancer by WANG Xuexing, ZHANG Rong, CHU Jie, LIU Zhijin

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Development and assessment of a mortality risk prediction nomogram model for pneumocystis disease in ICU within 28 days by Yiru Weng, Tingting Zhou, Honghua Ye

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A risk prediction model of gestational diabetes mellitus based on traditional and genetic factors by Ying Li, Xinli Zhong, Mengjiao Yang, Lu Yuan, Dandan Wang, Ting Li, Yanying Guo

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Development and validation of an EHR-based risk prediction model for geriatric patients undergoing urgent and emergency surgery by Edward N. Yap, Jie Huang, Joshua Chiu, Robert W. Chang, Bradley Cohn, Judith C. F. Hwang, Mary Reed

Subjects: “…Risk prediction model…”
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Development of an individualized dementia risk prediction model using deep learning survival analysis incorporating genetic and environmental factors by Shiqi Yuan, Qing Liu, Xiaxuan Huang, Shanyuan Tan, Zihong Bai, Juan Yu, Fazhen Lei, Huan Le, Qingqing Ye, Xiaoxue Peng, Juying Yang, Yitong Ling, Jun Lyu

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Construction and evaluation of a triage assessment model for patients with acute non-traumatic chest pain: mixed retrospective and prospective observational study by Xuan Zhou, Gangren Jian, Yuefang He, Yating Huang, Jie Zhang, Shengfang Wang, Yunxian Wang, Ruofei Zheng

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Development and validation of a risk prediction model for PICC-related venous thrombosis in patients with cancer: a prospective cohort study by Zeyin Hu, Mengna Luo, Ruoying He, Zhenming Wu, Yuying Fan, Jia Li

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Application of big data technology in enterprise information security management by Ping Li, Limin Zhang

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Risk prediction models for feeding intolerance in patients with enteral nutrition: a systematic review and meta-analysis by Huijiao Chen, Jin Han, Jing Li, Jianhua Xiong, Dong Wang, Mingming Han, Yuehao Shen, Wenli Lu

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Actors influencing cancer-related fatigue and the construction of a risk prediction model in lung cancer patients by Mei-Ning Zhang, Yi-Chen Zhou, Zhu Zeng, Cun-Liang Zeng, Bo-Tao Hou, Gui-Rong Wu, Qiao Jiao, Dai-Yuan Ma

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Incorporating low haemoglobin into a risk prediction model for conversion in minimally invasive gynaecologic oncology surgeries by Kevin H. Nguyen, Hyundeok Joo, Solmaz Manuel, Lee-may Chen, Lee-lynn Chen

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A nomogram prediction model for mild cognitive impairment in non-dialysis outpatient patients with chronic kidney disease by Qin Yang, Yuhe Xiang, Guoting Ma, Min Cao, Yixi Fang, Wenbin Xu, Lin Li, Qin Li, Yu Feng, Qian Yang

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Risk prediction models for falls in hospitalized older patients: a systematic review and meta-analysis by Anli Mao, Jie Su, Mingzhu Ren, Shuying Chen, Huafang Zhang

Subjects: “…Risk prediction model…”
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A Clinical Nomogram for Predicting Substandard Serum Valproic Acid Concentrations in Chinese Patients With Epilepsy by Zi-Hao Duan, MS, Chun-Yuan He, MS, Jie Chen, BS, Jun-Jie Jiang, BS, Zhi-Xiang Zhu, PhD, Jing Li, MS, Fa-Cai Wang, MD

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Prediction of the risk of 3-year chronic kidney disease among elderly people: a community-based cohort study by Tao Wang, Zhitong Zhou, Longbing Ren, Zhiping Shen, Jue Li, Lijuan Zhang

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Identify the underlying true model from other models for clinical practice using model performance measures by Yan Li

Subjects: “…Clinical risk prediction model…”
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Immune checkpoint inhibitors-related thyroid dysfunction: influencing factor analysis, prediction model development, and management strategy proposal by Xinya Li, Zaiwei Song, Yixuan Chen, Jingjing Wu, Dan Jiang, Zhen Zhang, Zeyuan Wang, Rongsheng Zhao

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Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

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Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

Subjects: “…coronary disease|machine learning|risk prediction model|logistic regression|k-nearest neighbor|support vector machine|decision tree|xgboost…”
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