Multidisciplinary clinician perceptions on utility of a machine learning tool (ALERT) to predict 6‐month mortality and improve end‐of‐life outcomes for advanced cancer patients... by Nithya Krishnamurthy, Melanie Besculides, Ksenia Gorbenko, Melissa Mazor, Marsha Augustin, Jose Morillo, Marcos Vargas, Cardinale B. Smith

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Health gain by salt reduction in europe: a modelling study. by Marieke A H Hendriksen, Joop M A van Raaij, Johanna M Geleijnse, Joao Breda, Hendriek C Boshuizen

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Development and validation of a novel risk assessment model for accurate prediction of intraoperative hypothermia in adult patients undergoing different types of surgery: insights... by Bingbing Cao, Yongxing Li, Xiangnan Chen, Yong Liu, Yao Li, Haihua Shu, Qiang Wu, Fengtao Ji

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HBX Multi‐Mutations Combined With Traditional Screening Indicators to Establish a Nomogram Contributes to Precisely Stratify the High‐Risk Population of Hepatocellular Carcinoma... by Chao‐Jun Zhang, Xiao‐Mei Chen, Chang Yan, Rui‐Bo Lv, Sanchun An, Yun‐Xin Gao, Tian‐Ren Huang, Wei Deng

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Enhancing Pollen Prediction in Beijing, a Chinese Megacity: Leveraging Ensemble Learning Models for Greater Accuracy by Wenxi Ruan, Ziming Li, Zhaobin Sun, Xingqin An, Yuxin Zhao, Shuwen Zhang, Yinglin Liang, Yaqin Bu, Jingyi Xin, Xiaoyi Hang

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The role of RAB GTPases in predicting prognosis and therapy response in pancreatic cancer by Jiayi Wang, Jiayao Ma, Shiying Lei, Yulei Zhai, Yangjie Liao, Chongrong Hu, Jingbo Li

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Predicting financial distress in emerging markets: the case of Indian small enterprises by Rampilla Mahesh, Anamika Kumari, Debabrata Sharma, Sreelakshmi N, Ranjana Ramesh

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Multimodal fusion model for prognostic prediction and radiotherapy response assessment in head and neck squamous cell carcinoma by Ruxian Tian, Feng Hou, Haicheng Zhang, Guohua Yu, Ping Yang, Jiaxuan Li, Ting Yuan, Xi Chen, Ying Chen, Yan Hao, Yisong Yao, Hongfei Zhao, Pengyi Yu, Han Fang, Liling Song, Anning Li, Zhonglu Liu, Huaiqing Lv, Dexin Yu, Hongxia Cheng, Ning Mao, Xicheng Song

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Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning by Kuat Abzaliyev, Madina Suleimenova, Siming Chen, Madina Mansurova, Symbat Abzaliyeva, Ainur Manapova, Almagul Kurmanova, Akbota Bugibayeva, Diana Sundetova, Raushan Bitemirova, Nazipa Baizhigitova, Merey Abdykassymova, Ulzhas Sagalbayeva

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A machine learning model to predict neurological deterioration after mild traumatic brain injury in older adults by Daisu Abe, Motoki Inaji, Takeshi Hase, Eiichi Suehiro, Naoto Shiomi, Hiroshi Yatsushige, Shin Hirota, Shu Hasegawa, Hiroshi Karibe, Akihiro Miyata, Kenya Kawakita, Kohei Haji, Hideo Aihara, Shoji Yokobori, Takeshi Maeda, Takahiro Onuki, Kotaro Oshio, Nobukazu Komoribayashi, Michiyasu Suzuki, Taketoshi Maehara

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Digital generation in the context of predicting the professional future by E. F. Zeer, N. G. Tserkovnikova, V. S. Tretyakova

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Multi-Task Trajectory Prediction Using a Vehicle-Lane Disentangled Conditional Variational Autoencoder by Haoyang Chen, Na Li, Hangguan Shan, Eryun Liu, Zhiyu Xiang

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Comparing large scale and selected feature learning for community acquired pneumonia prognosis prediction using clinical data: a stacked ensemble approach by Ji Hyun Lee, Hyun Woo Lee, Hyo Jin Lee, Tae Yun Park, Kwang Nam Jin, Dong Hyun Kim, Borim Ryu

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Accurately predict product temperature during high-temperature Daqu fermentation process based on mathematical modelling by YAO Cuiping, LI Yuping, WU Zhongyu, ZHU Chutian, ZHU Zhiyu, CHENG Yanbo, JIAO Fu, GONG Jiaxin, JIA Wensheng, MOU Mingyue, HUANG Yongguang

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Enhanced Model for Gestational Diabetes Mellitus Prediction Using a Fusion Technique of Multiple Algorithms with Explainability by Ahmad Hassan, Saima Gulzar Ahmad, Tassawar Iqbal, Ehsan Ullah Munir, Kashif Ayyub, Naeem Ramzan

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Clinical–radiomics model for predicting internal mammary lymph node metastasis in operable breast cancer patients by Wei Wang, Wenyu Zhang, Ting Yu, Ting Yu, QingWei Wu, ChengLin Yang, ChengLin Yang, Jianbin Li

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Predicting Ocean Current Temperature Off the East Coast of America with XGBoost and Random Forest Algorithms Using Rstudio by Lulut Alfaris, Anas Noor Firdaus, Ukta Indra Nyuswantoro, Ruben Cornelius Siagian, Aldi Cahya Muhammad, Rohana Hassan, Rodulfo T. Aunzo, Jr., Reza Ariefka

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An Interpretable Transformer Model for Operational Flare Forecasting by Yasser Abduallah, Vinay Ram Gazula, Jason T. L. Wang

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Profiling the metabolome of adenomyosis-associated infertility patients to predict the pregnancy outcome of frozen embryo transfer by Wen Zhang, Wen Zhang, Wen Zhang, Wen Zhang, Yidong Chen, Yidong Chen, Yidong Chen, Yidong Chen, Bing Han, Bing Han, Bing Han, Bing Han, Rong Li, Rong Li, Rong Li, Rong Li, Caihong Ma, Caihong Ma, Caihong Ma, Caihong Ma, Jie Qiao, Jie Qiao, Jie Qiao, Jie Qiao, Jie Qiao, Jie Qiao

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Full radius integrated modelling of ohmic ramp-up at TCV including self consistent density prediction by M. Marin, Y. Camenen, C. Bourdelle, F.J. Casson, R. Coosemans, L. Garzotti, P. Maget, P. Manas, A. Najlaoui, O. Sauter, the TCV Team

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