A Neural Network-based Approach to Prediction of Preterm Birth using Non-invasive Tests by Masoumeh Mirzamoradi, Hamid Mokhtari Torshizi, Masoumeh Abaspour, Atefeh Ebrahimi, Ali Ameri

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Frailty and nutritional assessments for predicting postoperative complications in older adults undergoing non-cardiac surgery by Sunisa Chatmongkolchart, Mantana Saetang, Panalee Kittisopaporn, Thitikan Kunapaisal, Dararat Yongsata, Khwanrut Sukitpaneenit

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Flow Accelerated Corrosion Prediction in High Pressure Economizer of a Heat Recovery Steam Generator by Phuris Khunphakdee, Kiattikhoon Phuakpunk, Benjapon Chalermsinsuwan

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In-Season Predictions Using Chlorophyll <i>a</i> Fluorescence for Selecting Agronomic Traits in Maize by Andrija Brkić, Sonja Vila, Domagoj Šimić, Antun Jambrović, Zvonimir Zdunić, Miroslav Salaić, Josip Brkić, Mirna Volenik, Vlatko Galić

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On-Orbit Life Prediction and Analysis of Triple-Junction Gallium Arsenide Solar Arrays for MEO Satellites by Huan Liu, Chenjie Kong, Yuan Shen, Baojun Lin, Xueliang Wang, Qiang Zhang

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Application of machine deep learning technology in tight sandstones reservoir prediction: A case study of Xujiahe Formation in Xinchang, western Sichuan Depression by QIAN Yugui

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Climate Adaptation for a Natural Atoll Island in the Maldives ‐ Predicting the Long‐Term Morphological Response of Coral Islands to Sea Level Rise and the Effect of Hazard Mitigati... by F. E. Roelvink, G. Masselink, C. Stokes, R. T. McCall

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Prediction of Large Solar Flares Based on SHARP and High-energy-density Magnetic Field Parameters by Xuebao Li, Xuefeng Li, Yanfang Zheng, Ting Li, Pengchao Yan, Hongwei Ye, Shunhuang Zhang, Xiaotian Wang, Yongshang Lv, Xusheng Huang

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Diagnostic systematic review and meta-analysis of machine learning in predicting biochemical recurrence of prostate cancer by Chenyang Ling, Ning Tao, Abudukeyoumu Maimaitiyimin, Yifan Zhang, Miao Yao, Hongyu Pu, Xiaodong Li, Yujie Wang, Hengqing An

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Predicting the potential distribution of Podophyllum hexandrum Royle in the Himalaya under CMIP6 climate projections by Zishan Ahmad Wani, P. P. Abdul Rahim, Javid Ahmad Dar, Aamir Nazir Lone, Sazada Siddiqui

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Utilizing vegetation indices with optimal wavelengths to predict nitrogen uptake at the flowering stage and wheat yield by Akina Mizumoto, Hiroko Sawada, Ryo Terasaki, Kou Nakazono, Hiroe Yoshida, Akihiro Ohsumi, Akira Fukushima

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Pharmacokinomic Profiling Using Patient-Derived Cell Lines Predicts Sensitivity to Imatinib in Dermatofibrosarcoma Protuberans by Rei Noguchi, Takuya Ono, Kazuki Sasaki, Mari Masuda, Akira Kawai, Yuki Yoshimatsu, Tadashi Kondo

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Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies by Ejay Nsugbe, Oluwarotimi Williams Samuel, Jose Javier Reyes-Lagos, Dawn Adams, Olusayo Obajemu

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Predicting Red Blood Cell Transfusion in Elective Cardiac Surgery: A Machine Learning Approach by Beatriz Lau, Daniel Ramos, Vera Afreixo, Luís M. Silva, Ana Helena Tavares, Miguel Martins Felgueiras, Diana Castro Paupério, João Firmino-Machado

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Biomarkers in predicting mortality from cardiovascular events in patients with heart failure and an implanted cardioverter-defibrillator by N. N. Ilov, O. V. Petrova, D. K. Tverdokhlebova, I. R. Karimov, A. A. Nechepurenko, S. A. Boytsov

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Accurate prediction of the lymph node status in ampullary duodenal carcinoma: potential guidance for clinical management by Ran Ni, Tianpeng Zhang, Yixuan Mou, Zhiming Hu, Zongting Gu

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Identification of potential prognostic small nucleolar RNA biomarkers for predicting overall survival in patients with sarcoma by Jianwei Liu, Xiwen Liao, Xianze Zhu, Peizhen Lv, Rong Li

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Using Solar Orbiter as an Upstream Solar Wind Monitor for Real Time Space Weather Predictions by R. Laker, T. S. Horbury, H. O’Brien, E. J. Fauchon‐Jones, V. Angelini, N. Fargette, T. Amerstorfer, M. Bauer, C. Möstl, E. E. Davies, J. A. Davies, R. Harrison, D. Barnes, M. Dumbović

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General practitioners’ predictions of their own patients’ health literacy: a cross-sectional study in Belgium by Hannelore Storms, Frank Vandenabeele, Neree Claes

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Predicting amyloid status in mild cognitive impairment: the role of semantic intrusions combined with plasma biomarkers by Yao Lu, Liang Cui, Lin Huang, Fang Xie, Qi-Hao Guo

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