Novel type 2 diabetes prediction score based on traditional risk factors and circulating metabolites: model derivation and validation in two large cohort studiesResearch in context by Ruijie Xie, Christian Herder, Sha Sha, Lei Peng, Hermann Brenner, Ben Schöttker

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Digital twin-centered hybrid data-driven multi-stage deep learning framework for enhanced nuclear reactor power prediction by James Daniell, Kazuma Kobayashi, Ayodeji Alajo, Syed Bahauddin Alam

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Evaluation of treatment for diffuse large B-cell lymphoma using plasma D-dimer levels by Ruonan Shao, Danchen Meng, Beibei Gao, Lu Zhang, Qingqi Meng, Yanqiu Hou, Zhangbiao Long, Jinsong Yan, Xiaofeng Shi

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Prediction of fish (Coilia nasus) catch using spatiotemporal environmental variables and random forest model in a highly turbid macrotidal estuary by Vishal Singh Rawat, Gubash Azhikodan, Katsuhide Yokoyama

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Development and validation of a prediction model for all-cause mortality in maintenance dialysis patients: a multicenter retrospective cohort study by Jingcan Wu, Xuehong Li, Hong Zhang, Lin Lin, Man Li, Gangyi Chen, Cheng Wang

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PROXIMATE ESTIMATION OF GENOTYPIC AND GENETIC (ADDITIVE) VARIANCES OF PLANT PRODUCTIVITY TRAITS by V. A. Dragavtsev, G. A. Makarova, A. A. Kochetov, G. V. Mirskaya, N. G. Sinyavina

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External validation and revision of the Lafontaine criteria for unstable distal radius fractures: a retrospective study by Pornpanit Dissaneewate, Phatklao Thanavirun, Yanin Tangjaroenpaisan, Kantapon Dissaneewate

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Diagnostic accuracy of artificial intelligence algorithms to predict remove all macroscopic disease and survival rate after complete surgical cytoreduction in patients with ovarian cancer: a systematic review and meta-analysis by Somayyeh Noei Teymoordash, Hoda Zendehdel, Ali Reza Norouzi, Mahdis Kashian

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Nomogram for predicting postoperative ileus after radical cystectomy and urinary diversion: a retrospective single-center study by Xiaoyu Sun, Chang Liu, Changwen Zhang, Zhihong Zhang

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Clinical profile and risk factors for respiratory failure in children with Mycoplasma pneumoniae infection by Yanfei Wang, Limin Huang, Junjie Qian, Kelei Deng, Zihao Yang, Zhenjie Chen, Wei Li, Linhua Tan

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Heavy metals impact environmental capacity of oasis soils in Qinghai-Tibet Plateau dry zone by Siqi Han, Bin Wang, Zhen Yao, Lu Dai, Youning Wei, Yao Niu, Ling Qian

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The global burden of otitis media in 204 countries and territories from 1992 to 2021: a systematic analysis for the Global Burden of Disease study 2021 by Guan-Jiang Huang, Bao-Rui Lin, Pei-Shan Li, Na Tang, Zhi-Jun Fan, Biao-Qing Lu

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A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE) by Rebwar M. Nabi, Soran Ab. M. Saeed, Habibollah Harron

Subjects: “…Stock Market Forecasting, Feature Engineering Feature Selection Machine Learning Predictive Analysis Predictable Movement Multiclass Classification…”
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The validity of the selection methods for recruitment to UK core psychiatry training: cohort study by Paul A. Tiffin, Emma Morley, Lewis W. Paton, Nandini Chakraborty, Fiona Patterson

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Rendre compte de l'insaisissable by Youssoupha Tall, Jeanne Riaux, Benjamin Sultan

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Development and validation of a novel bleeding risk prediction tool for aspirin users with a low body mass index by Lu Yifang, Lei Wanlin, Wang Maofeng

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Proposal of a generic model to predict the time to reject low acid fruit pulps contaminated by Byssochlamys fulva by Paulo Ricardo Santos da Silva, Michele Bertoni Mann, Isabel Cristina Tessaro, Ligia Damasceno Ferreira Marczak

Subjects: “…Predictive Microbiology. Growth. Fungi. Shelf Life.…”
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The Usage of an SNP-SNP Relationship Matrix for Best Linear Unbiased Prediction (BLUP) Analysis Using a Community-Based Cohort Study by Young-Sup Lee, Hyeon-Jeong Kim, Seoae Cho, Heebal Kim

Subjects: “…best linear unbiased prediction (BLUP)…”
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Torque and d-q axis current dynamics of an inverter fed induction motor drive that leverages computational intelligent techniques by Shaswat Chirantan, Bibhuti Bhusan Pati

Subjects: “…predictive current control…”
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Prediction of Seven Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Medium-Long Caucasian Eyes by Wiktor Stopyra, Oleksiy Voytsekhivskyy, Andrzej Grzybowski

“…<b>Purpose:</b> To compare the accuracy of seven artificial intelligence (AI)-based intraocular lens (IOL) power calculation formulas in medium-long Caucasian eyes regarding the root-mean-square absolute error (RMSAE), the median absolute error (MedAE) and the percentage of eyes with a prediction error (PE) within ±0.5 D. <b>Methods:</b> Data on Caucasian patients who underwent uneventful phacoemulsification between May 2018 and September 2023 in MW-Med Eye Center, Krakow, Poland and Kyiv Clinical Ophthalmology Hospital Eye Microsurgery Center, Kyiv, Ukraine were reviewed. …”
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