Prognostic prediction for inflammatory breast cancer patients using random survival forest modeling by Yiwei Jia, Chaofan Li, Cong Feng, Shiyu Sun, Yifan Cai, Peizhuo Yao, Xinyu Wei, Zeyao Feng, Yanbin Liu, Wei Lv, Huizi Wu, Fei Wu, Lu Zhang, Shuqun Zhang, Xingcong Ma

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Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis by Qiqi Yan, Guiling Liu, Ruifeng Wang, Dandan Li, Xiaoli Chen, Jingjing Cong, Deguang Wang

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COMPARATIVE STUDY OF SURVIVAL SUPPORT VECTOR MACHINE AND RANDOM SURVIVAL FOREST IN SURVIVAL DATA by Ni Gusti Ayu Putu Puteri Suantari, Anwar Fitrianto, Bagus Sartono

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The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer by Zheng Dou, Jiaxi Lin, Chenghao Lu, Xiaoting Ma, Ruoxu Zhang, Jinzhou Zhu, Songbing Qin, Chao Xu, Jinli Li

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Prediction of new HIV infection in men who have sex with men based on machine learning: secondary analysis of a prospective cohort study from Western China by Kangjie Li, Guiqian Shi, Cong Zhang, Bing Lin, Yi Tao, Qian Wang, Haijiao Zeng, Jielian Deng, Lei Zou, Biao Xie, Xiaoni Zhong

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A machine learning-based nomogram for predicting graft survival in allograft kidney transplant recipients: a 20-year follow-up study by Jiamin He, Pinlin Liu, Lingyan Cao, Feng Su, Yifei Li, Tao Liu, Wenxing Fan

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SURVIVAL ANALYSIS ON DATA OF STUDENTS NOT GRADUATING ON TIME USING WEIBULL REGRESSION, COX PROPORTIONAL HAZARDS REGRESSION, AND RANDOM SURVIVAL FOREST METHODS by Ramya Rachmawati, Nur Afandi, Muhammad Arib Alwansyah

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A COMPARISON OF COX PROPORTIONAL HAZARD AND RANDOM SURVIVAL FOREST MODELS IN PREDICTING CHURN OF THE TELECOMMUNICATION INDUSTRY CUSTOMER by Sitti Nurhaliza, Kusman Sadik, Asep Saefuddin

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Development, Validation, and Deployment of a Time-Dependent Machine Learning Model for Predicting One-Year Mortality Risk in Critically Ill Patients with Heart Failure by Jiuyi Wang, Qingxia Kang, Shiqi Tian, Shunli Zhang, Kai Wang, Guibo Feng

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Construction and validation of a prognostic model for NK/T-cell lymphoma based on random survival forest algorithm by HUANG Zhen, HUANG Zhen, WU Yazhou

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Development and pan-cancer validation of an epigenetics-based random survival forest model for prognosis prediction and drug response in OS by Chaoyi Yin, Kede Chi, Zhiqing Chen, Shabin Zhuang, Yongsheng Ye, Binshan Zhang, Cailiang Cai

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Machine learning survival models for Non-alcoholic fatty liver disease based on a health checkup cohort by Hongyu Zhang, Li Zhang, Na Li, Yongsheng Zhang, Xiaowen Zhang, Dawei Wang

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AI-assisted exposure-response data analysis: Quantifying heterogeneous causal effects of exposures on survival times by Louis Anthony Cox, Jr., R. Jeffrey Lewis, Saumitra V. Rege, Shubham Singh

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Survival prediction modelling in patients with acute ST-segment elevation myocardial infarction with LASSO regression and explainable machine learning by Tao Shi, Jianping Yang, Jianping Yang, Yanji Zhou, Sirui Yang, Fazhi Yang, Xinuo Ma, Yujuan Peng, Jinfang Pu, Hong Wei, Lixing Chen

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Competing risk and random survival forest models for predicting survival in post-resection elderly stage I–III colorectal cancer patients by Qian Zhang, Rongxuan Xu, Wenchong Zhen, Xueting Bai, Zihan Li, Yixin Zhang, Wei Wu, Zhihan Yao, Xiaofeng Li

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Options for postoperative radiation therapy in patients with de novo metastatic breast cancer by Chaofan Li, Yusheng Wang, Biyun Fang, Mengjie Liu, Shiyu Sun, Jingkun Qu, Shuqun Zhang, Chong Du

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Using Machine Learning and Feature Importance to Identify Risk Factors for Mortality in Pediatric Heart Surgery by Lorenz A. Kapsner, Manuel Feißt, Ariawan Purbojo, Hans-Ulrich Prokosch, Thomas Ganslandt, Sven Dittrich, Jonathan M. Mang, Wolfgang Wällisch

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Identification of Crucial Genes Associated With MYCN‐Driven Neuroblastoma Based on Single‐Cell Analysis and Machine Learning by Jiasi Zhang, Yichen Lei, Yaqin Wang, Wen Yu, Xiaoyan Zhao, Yongbing Zhu, Dedong Zhang, Siying Liu, Aiguo Liu

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Machine learning analysis for detecting late recurrence and loss to follow‐up after renal cell carcinoma surgery by Kodai Sato, Tomokazu Sazuka, Takayuki Arai, Hiroaki Sato, Manato Kanesaka, Keisuke Ando, Shinpei Saito, Sangjon Pae, Yasutaka Yamada, Yusuke Imamura, Shinichi Sakamoto, Tomohiko Ichikawa

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Dynamic survival prediction of end-stage kidney disease using random survival forests for competing risk analysis by Daniel Christiadi, Daniel Christiadi, Daniel Christiadi, Kevin Chai, Aaron Chuah, Bronwyn Loong, Thomas D. Andrews, Aron Chakera, Giles Desmond Walters, Giles Desmond Walters, Giles Desmond Walters, Simon Hee-Tang Jiang, Simon Hee-Tang Jiang, Simon Hee-Tang Jiang

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