Using Life’s Essential 8 and heavy metal exposure to determine infertility risk in American women: a machine learning prediction model based on the SHAP method by Xiaoqing Gu, Qianbing Li, Xiangfei Wang

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Development and validation of a nomogram model for predicting venous thromboembolism risk in lung cancer patients treated with immune checkpoint inhibitors: A cohort study in China by Guanzhong Liang, Zuhai Hu, Qianjie Xu, Guixue Wang, Ying Wang, Xiaosheng Li, Wei Zhang, Haike Lei

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Predicting breast cancer risk and its association to biopsychosocial factors among Taiwanese women with a family history of breast cancer: an investigation based on the Gail model by Sabiah Khairi, Nur Aini, Lalu Muhammad Harmain Siswanto, Min-Huey Chung

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Preoperative evaluation of endoscopic thyroidectomy via the total areola approach (ETA): a fluid-structure interaction model for predicting lymph node clearance and surgical suitab... by Ping Li, Yuheng Du, Xudong Wang, Yu Shi, Chongyang Ye, Rui Jin

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Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on R... by Ronghao Li, Shuai Mao, Congmin Zhu, Yingliang Yang, Chunting Tan, Li Li, Xiangdong Mu, Honglei Liu, Yuqing Yang

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Risk scoring model for lung adenocarcinoma based on PD-L1 related signature reveals prognostic predictability and correlation with tumor immune microenvironment genes was construct... by Meng Li-Fei, Si-Meng Ren, Jun Wang, Wei-Jun Zhao, Jian Chen, Wen-Tao Hu

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Improving wind and power predictions via four-dimensional data assimilation in the WRF model: case study of storms in February 2022 at Belgian offshore wind farms by T. Ivanova, T. Ivanova, S. Porchetta, S. Porchetta, S. Buckingham, G. Glabeke, G. Glabeke, J. van Beeck, W. Munters

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Construction of a modified TNM staging system and prediction model based on examined lymph node counts for gastric cancer patients at pathological stage N3 by Hongyu Zhang, Nan Sun, Feng Li, Qiyang Wang, Zhao Sun, Yawei Zhang, Lei Wang, Chunlin Zhao, Yang Fu

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Predictive Performance of Machine Learning with Evoked Potentials for SCI and MS Prognosis: A Meta-Analysis by Constantinos Koutsojannis, Dionysia Chrysanthakopoulou

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Reducing bias in coronary heart disease prediction using Smote-ENN and PCA. by Xinyi Wei, Boyu Shi

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The construction of a risk prediction model for the impact of tidal volume in postoperative patients with intracerebral hemorrhage using neural-assisted mechanical ventilation base... by Zihao Zhou, Lin Yao, Cui Chen, Baosong Han, Rongrong Wu

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Development and internal validation of an interpretable risk prediction model for diabetic peripheral neuropathy in type 2 diabetes: a single-centre retrospective cohort study in C... by Li Cao, Linli Zhang, Feng Ju, Lianhua Liu, Bo Bi, Mei Gui, Xiaodan Wang

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Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study by Xin Guan, Bo Zhang, Ming Fu, Mengying Li, Xu Yuan, Yaowu Zhu, Jing Peng, Huan Guo, Yanjun Lu

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Different environmental factors predict the occurrence of tick-borne encephalitis virus (TBEV) and reveal new potential risk areas across Europe via geospatial models by Patrick H. Kelly, Rob Kwark, Harrison M. Marick, Julie Davis, James H. Stark, Harish Madhava, Gerhard Dobler, Jennifer C. Moïsi

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Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data... by Yue Yang, Shang Li, Xiao Zhu, Yi Kong, Mingtao Zhang, Xiangping Liang, Zherui Zhang, Shuzhen Tan, Yingqi Li, Yueyuan Zhong, Yingqi Shao, Jiayi Xu, Zesong Li

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Establishment and validation of a model for predicting the SSIGN score and prognosis of patients with clear cell renal cell carcinoma based on CT radiomic features and clinical ind... by ZHI Kaiyue, YANG Zhitao, ZHANG Shuo, ZHU He, WANG Yanmei, ZHAO Lianzi, WANG Ning, ZHAO Xia, LI Xianjun, CHENG Nan, WANG Yicong, CHEN Chengcheng, WANG Nan, NIE Pei

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A personalized prediction model for distinguishing between asymptomatic bacteriuria and symptomatic urinary tract infections in patients with type 2 diabetes mellitus using machine... by Shuangqing Liu, Juan Li, Yang Fang, Yang Fang, Xiujuan Wu, Yang Cao, Keke Cai, Keke Cai, Jing Yu, Jing Yu, Yan Zhao, Yitao Duan, Yitao Duan

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A novel deep learning model based on multimodal contrast-enhanced ultrasound dynamic video for predicting occult lymph node metastasis in papillary thyroid carcinoma by Rongwei Liu, Rongwei Liu, Fengqin Yuan, Biaoyang Wang, Weihua Chen, Jun Ye, Yun He

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Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intellig... by Gary S Collins, Lily Peng, Johannes B Reitsma, Lotty Hooft, Ben Van Calster, Jie Ma, Maarten van Smeden, Andrew L Beam, Constanza L Andaur Navarro, Paula Dhiman, Karel GM Moons, Patricia Logullo

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Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease by Heather Mary-Kathleen Kosick, Chris McIntosh, Chinmay Bera, Mina Fakhriyehasl, Mohamed Shengir, Oyedele Adeyi, Leila Amiri, Giada Sebastiani, Kartik Jhaveri, Keyur Patel

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