A Review of Ignition Characteristics and Prediction Model of Combustor Under High-Altitude Conditions by Yuhui Zhu, Shaolin Wang, Kaixing Wang, Yushuai Liu, Cunxi Liu, Fuqiang Liu, Jinhu Yang, Yong Mu, Gang Xu

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Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction by Hao Xie, Yingpeng Wang, Tingting Liu, Songhua Yan, Jizhou Zeng, Kuan Zhang

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Modeling the Production Process of Lignin Nanoparticles Through Anti-Solvent Precipitation for Properties Prediction by Victor Girard, Laurent Marchal-Heussler, Hubert Chapuis, Nicolas Brosse, Nadia Canilho, Isabelle Ziegler-Devin

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Developing a risk prediction model for sudden cardiac death in children with hypertrophic cardiomyopathy by Zhen Zhen, Yeqiong Xu, Xi Chen, Jia Na, Yanyan Xiao, Yue Yuan

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Construction of mathematical models to predict M25 and M10 coke quality indices by E. N. Stepanov, A. N. Smirnov, D. I. Alekseev

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Personalized prediction of lifetime benefits with statin therapy for asymptomatic individuals: a modeling study. by Bart S Ferket, Bob J H van Kempen, Jan Heeringa, Sandra Spronk, Kirsten E Fleischmann, Rogier L G Nijhuis, Albert Hofman, Ewout W Steyerberg, M G Myriam Hunink

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Assessment of spatial autocorrelation and scalability in fine-scale wildfire random forest prediction models by Madeleine Pascolini-Campbell, Joshua B. Fisher, Kerry Cawse-Nicholson, Christine M. Lee, Natasha Stavros

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Prediction Models for Mortality in Patients With Moderate to Severe ARDS Treated in the ICUTake-Home Points by Katrijn Daenen, MD, Sara C.M. Stoof, MD, PhD, Hugo van Willigen, MD, Anders Boyd, PhD, Virgil A.S.H. Dalm, MD, PhD, Diederik A.M.P.J. Gommers, MD, PhD, Eric C.M. van Gorp, MD, PhD, Abraham J. Valkenburg, MD, PhD, Henrik Endeman, MD, PhD, Jilske A. Huijben, MD, PhD

“…Background: Mortality prediction models have been developed for patients in the ICU, but infrequently are targeted for specific conditions. …”
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Machine-learning model for predicting left atrial thrombus in patients with paroxysmal atrial fibrillation by Wanli Xiong, Qiqi Cao, Lu Jia, Min Chen, Tao Liu, Qingyan Zhao, Yanhong Tang, Bo Yang, Li Li, Shaobo Shi, He Huang, Congxin Huang, China Atrial Fibrillation Center Project Team

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Diagnosis models to predict peripheral arterial disease: a systematic review and meta analysis by Xiaoyan Quan, Huarong Xiong, Xiaoyu Liu, Pan Song, Dan Wang, Qin Chen, Xiaoli Hu, Meihong Shi

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A methodological systematic review of validation and performance of sepsis real-time prediction models by Zichen Wang, Wen Wang, Che Sun, Jili Li, Shuangyi Xie, Jiayue Xu, Kang Zou, Yinghui Jin, Siyu Yan, Xuelian Liao, Yan Kang, Craig M. Coopersmith, Xin Sun

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Evaluating predictive models for hemorrhagic transformation post-mechanical thrombectomy in acute ischemic stroke by Jiaxuan Wang, Jiaxuan Wang, Jianyou You, Hui Yang, Hui Yang, Zhongbin Xia, Xiangbin Wu, Moxin Wu, Moxin Wu, Xiaoping Yin, Xiaoping Yin, Zhiying Chen, Zhiying Chen

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External validation of the prediction model of intradialytic hypotension: a multicenter prospective cohort study by Yuhe Xiang, Guoting Ma, Qin Yang, Min Cao, Wenbin Xu, Lin Li, Qian Yang

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Prediction of microbe-drug associations using a CNN-Bernoulli random forest model by Zihao Song, Qingnuo Li, Jincheng Zhao, Qinggang Bu, Zekang Bian, Jia Qu

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The Fermentation Degree Prediction Model for Tieguanyin Oolong Tea Based on Visual and Sensing Technologies by Yuyan Huang, Jian Zhao, Chengxu Zheng, Chuanhui Li, Tao Wang, Liangde Xiao, Yongkuai Chen

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Development of a Predictive Model for the Progression of Subjective Cognitive Decline: A Longitudinal Study by Wenyi Li, Jiwei Jiang, Qiwei Ren, Min Zhao, Linlin Wang, Shiyi Yang, Shirui Jiang, Tianlin Jiang, Huiying Zhang, Jun Xu

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Establishment of a prediction model for long-term infections in patients undergoing peritoneal dialysis by Mengmeng Liu, Qian Lu, Jinzhu Sun, Shengnan Dai, Feng Yan, Chun Yang, Qiuhua Zhang

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Predictive models for overall health of hydroelectric equipment based on multi-measurement point output by Liu Dong, Kong Lijun, Song Jinghui, Zhou Yiming

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Evaluating machine learning models comprehensively for predicting maximum power from photovoltaic systems by Samir A. Hamad, Mohamed A. Ghalib, Amr Munshi, Majid Alotaibi, Mostafa A. Ebied

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Comparing machine learning models for osteoporosis prediction in Tibetan middle aged and elderly women by Peng Wang, Qiang Yin, Kangzhi Ding, Huaichang Zhong, Qundi Jia, Zhasang Xiao, Hai Xiong

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