Prediction of Acute Kidney Injury After Cardiac Surgery With Combined Arterial and Venous Intrarenal Doppler by Cameron Giles, Karel Huard, André Denault, William Beaubien-Souligny

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Bioinformatics-Based Analysis of Ferroptosis-Related Biomarkers and the Prediction of Drugs Affecting the Adipogenic Differentiation of MSCs by Jiahao Jin, Zihao Yuan, Xinglang Wang, Quanfeng Li, Yunhui Zhang, Yibin Zhang, Pengfei Ji, Yanfeng Wu, Peng Wang, Wenjie Liu

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Predictive symptoms for COVID-19 in the community: REACT-1 study of over 1 million people. by Joshua Elliott, Matthew Whitaker, Barbara Bodinier, Oliver Eales, Steven Riley, Helen Ward, Graham Cooke, Ara Darzi, Marc Chadeau-Hyam, Paul Elliott

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Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation by Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Pierpaolo Di Bitonto, Anna Maria Stellacci, Alfonso Monaco, Nicola Amoroso, Roberto Bellotti, Sabina Tangaro

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Stock Index Prices Prediction via Temporal Pattern Attention and Long-Short-Term Memory by Xiaolu Wei, Binbin Lei, Hongbing Ouyang, Qiufeng Wu

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Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma by Yun Liang, Yun Liang, Min He, Wenqing Chen, Wenqing Chen, Lizhen Li, Lizhen Li, Yumeng Dong, Yumeng Dong, Gang Liang, Hui Huangfu, Zengyu Jiang, Zengyu Jiang, Sheng He, Sheng He, Sheng He

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From helicobacter pylori to glucose metabolism: can DOB values serve as a predictive marker? by Yu Zhou, Jie Xu, Zhigang Huang, Daoxing He, Hui Duan, Yating Shi, Zhenjie Wang, Zhaoyi Chen

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Biopsy image-based deep learning for predicting pathologic response to neoadjuvant chemotherapy in patients with NSCLC by Yibo Zhang, Shuaibo Wang, Xinying Liu, Yang Qu, Zijian Yang, Yang Su, Bin Hu, Yousheng Mao, Dongmei Lin, Lin Yang, Meng Zhou

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Identifying the Symptom Severity in Obsessive-Compulsive Disorder for Classification and Prediction: An Artificial Neural Network Approach by Mirza Naveed Shahzad, Muhammad Suleman, Mirza Ashfaq Ahmed, Amna Riaz, Khadija Fatima

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Examining the Impact of Different Periodic Functions on Short-Term Freeway Travel Time Prediction Approaches by Xu Miao, Bing Wu, Yajie Zou, Lingtao Wu

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Open-Water Thrust and Torque Predictions of a Ducted Propeller System with a Panel Method by J. Baltazar, J. A. C. Falcão de Campos, J. Bosschers

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Composite Fault Prediction of Bearing Based on Cascaded Long Short Term Memory Neural Network by JIANG Xuyao, LIN Qunxu, HOU Zhicheng, ZHANG Gong, ZHANG Jinyue, YANG Gen

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Climate change-induced shifts in landslide susceptibility in São Sebastião (southeastern Brazil) by Enner Alcântara, Cheila Flávia Baião, Yasmim Carvalho Guimarães, José Antonio Marengo, José Roberto Mantovani

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Numerical modelling of conjugate heat transfer in force convective flow environment using a combined boiling model (CBM) by Jure Štrucl, Jure Marn, Matej Zadravec

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Could infarct location predict the long-term functional outcome in childhood arterial ischemic stroke? by Mauricio López-Espejo, Marta Hernández-Chávez

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Wireless semantic image transmission system based on deep flexible coding strategy and performance prediction by YANG Shuhan, SHEN Bin, HUANG Xiaoge

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Biomarkers at 6 weeks' gestation in the prediction of early miscarriage in pregnancy following assisted reproductive technology by Jun Guo, Qiaoli Feng, Piya Chaemsaithong, Kubi Appiah, Daljit S. Sahota, Bo Wah Leung, Jacqueline P. Chung, Tin Chiu Li, Liona C. Poon

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Addressing data scarcity in deep learning: Leveraging real and artificial datasets to predict compaction of composites by Anatoly Koptelov, Hanna Beketova, Jonathan P.-H. Belnoue, Stephen R. Hallett, Iryna Tretiak

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Classification of imbalanced travel mode choice dataset with SMOTE and prediction using interpretable machine learning by Mujahid Ali

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Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies by Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin, Alexey A. Lagunin

“…The best SSPR models demonstrated high accuracy, with an average ROC AUC of 0.831 ± 0.037, a Balanced accuracy of (0.763 ± 0.034), MCC (0.457 ± 0.06), and F-measure (0.623 ± 0.07) across all genes, outperforming the most popular bioinformatics tools.ConclusionsThe best created SSPR models for the prediction of pathogenicity of amino acid substitutions related with PIDs have been implemented in a freely available web application SAV-Pred (Single Amino acid Variants Predictor, http://www.way2drug.com/SAV-Pred/), which may be a useful tool for medical geneticists and clinicians. …”
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