Advancing the accuracy of clathrin protein prediction through multi-source protein language models by Watshara Shoombuatong, Nalini Schaduangrat, Pakpoom Mookdarsanit, Jaru Nikom, Lawankorn Mookdarsanit

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Prediction models for cognitive impairment in middle-aged patients with cerebral small vessel disease by Wei Zheng, Xiaoyan Qin, Ronghua Mu, Peng Yang, Bingqin Huang, Bingqin Huang, Zhixuan Song, Xiqi Zhu, Xiqi Zhu

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Research on Oil Well Production Prediction Based on GRU-KAN Model Optimized by PSO by Bo Qiu, Jian Zhang, Yun Yang, Guangyuan Qin, Zhongyi Zhou, Cunrui Ying

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Constructing a fall risk prediction model for hospitalized patients using machine learning by Cheng-Wei Kang, Zhao-Kui Yan, Jia-Liang Tian, Xiao-Bing Pu, Li-Xue Wu

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Building a machine learning-based risk prediction model for second-trimester miscarriage by Sangsang Qi, Shi Zheng, Mengdan Lu, Aner Chen, Yanbo Chen, Xianhu Fu

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The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China. by Daren Zhao, Huiwu Zhang, Qing Cao, Zhiyi Wang, Sizhang He, Minghua Zhou, Ruihua Zhang

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Improved flow prediction of non-ideal sonic nozzles by CFD-based surrogate modelling by Sebastian Weiss, Bodo Mickan, Kilian Oberleithner, Markus Bär, Sonja Schmelter

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Construction and validation of a risk prediction model for hypoglycemia in patients with gestational diabetes mellitus by Jie-mei Yang, Li-zhi Wang, Xiang-feng Zhao, Qian-cheng Ye, Cui Wan, Xiu-zhen Li, Rui-fen Huang, Rong-rong Peng, Cai-xia Liu

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TRIPOD statement: a preliminary pre-post analysis of reporting and methods of prediction models by Gary S Collins, Karel G M Moons, Lotty Hooft, Ewout W Steyerberg, Pauline Heus, Merel van Diepen, Friedo W Dekker, Amir H Zamanipoor Najafabadi, Chava L Ramspek, Wilco C Peul

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An Explainable Multi-Model Stacked Classifier Approach for Predicting Hepatitis C Drug Candidates by Teuku Rizky Noviandy, Aga Maulana, Ghifari Maulana Idroes, Rivansyah Suhendra, Razief Perucha Fauzie Afidh, Rinaldi Idroes

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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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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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International good practice in information literacy education by Lyn Robinson, David Bawden

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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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