Prediction of lethal outcomes in COVID-19 cases based on the results chest computed tomography by S. P. Morozov, V. A. Gombolevskiy, V. Yu. Cherninа, I. A. Blokhin, O. A. Mokienko, A. V. Vlаdzimirskiy, A. S. Belevskiy, D. N. Protsenko, M. A. Lysenko, O. V. Zayrаtyants, E. L. Nikonov

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Predicted vs. Observed Prosthesis–Patient Mismatch After Surgical Aortic Valve Replacement by Giorgia Cibin, Augusto D’Onofrio, Giulia Lorenzoni, Valentina Lombardi, Emma Bergonzoni, Assunta Fabozzo, Irene Cao, Andrea Francavilla, Chiara Tessari, Dario Gregori, Gino Gerosa

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Deep Learning Approach Predicts Longitudinal Retinal Nerve Fiber Layer Thickness Changes by Jalil Jalili, Evan Walker, Christopher Bowd, Akram Belghith, Michael H. Goldbaum, Massimo A. Fazio, Christopher A. Girkin, Carlos Gustavo De Moraes, Jeffrey M. Liebmann, Robert N. Weinreb, Linda M. Zangwill, Mark Christopher

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MELD score predicts outcomes in patients with advanced heart failure: A longitudinal evaluation by Francesco Curcio, Cristiano Amarelli, Rosaria Chiappetti, Irene Mattucci, Veronica Flocco, Mahmoud Issa Rammal, Ciro Abete, Francesca Mazzella, Ciro Maiello, Pasquale Abete, Francesco Cacciatore

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Predicting the Development of Thrombosis of the Femoral-Popliteal Bypass in the Long-Term Follow-Up Period by A. B. Zakeryaev, R. A. Vinogradov, P. V. Sukhoruchkin, S. R. Butayev, T. E. Bakhishev, A. I. Derbilov, E. R. Urakov, A. G. Baryshev, V. A. Porkhanov

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Incidence, Prediction, and Prevention of Fractures After Kidney Transplantation: A Systematic Review Protocol by Andrea C. Cowan, Karla Solo, Victoria Lebedeva, Yasaman Mohammadi Kamalabadi, Maha El-Shimy, Aayushi Joshi, Edith Ginika Olalike, Misa Tanaka, Adam G. R. Klotz, Hatoun Wahid Elazhary, Antonia Zhu, Adam Forster, Shafaz Veettil, Sachin G. Nair, Maria Fernanda Servin Martinez, Dweeti Nayak, V. Nikhila Priya, Catherine Wellan, Diana Maria Cespedes Arcani, Pavel S. Roshanov

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Observation-Only Management: Risk Prediction for Progression of Low-Grade Cervical Squamous Intraepithelial Lesions to High-Grade Lesions or Malignancies within 3 Years by Huaying Zhu, Yunhua Fu

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Does the FNA sperm retrieval failure prediction model work well for current NOA individuals undertaking risk screening before the operation? Model validation, high-risk population... by Xiaohui Jiang, Dingming Li, Yi Zheng, Yinxian Li, Hengzhou Bai, Guicheng Zhao, Yi Zhang, Yue Ma

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Predictive nomogram for early detection of invasive fungal disease deterioration --- a 10-year retrospective cohort study by Wei Wang, Yan Li, Hua Wang, Yumeng Du, Mengyuan Cheng, Jinyan Tang, Mingliang Wu, Chaomin Chen, Qingwen Lv, Weibin Cheng

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Microstructural diffusion MRI for differentiation of breast tumors and prediction of prognostic factors in breast cancer by Xiaoyan Wang, Yan Zhang, Jingliang Cheng, Liangjie Lin, Ying Hu, Anfei Wang, Yong Zhang, Ruhua Wang, Ying Li, Kun Zhang, Wenhua Zhang

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Assessing the Robustness of Multispectral Satellite Imagery with LiDAR Topographic Attributes and Ancillary Data to Predict Vertical Structure in a Wet Eucalypt Forest by Bechu K. V. Yadav, Arko Lucieer, Gregory J. Jordan, Susan C. Baker

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PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH by Abdul-razak Bawa Yussif, Fatih Mangır, Zeynep Karaçor, Ayten Yağmur

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Joint Prediction of U.S. Rice Yields and Methane Emissions: A Machine Learning Approach by Jameson Augustin, Munisamy Gopinath, Berna Karali, Yuhan Rao

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On Usage of Artificial Intelligence for Predicting Neonatal Diseases, Conditions, and Mortality: A Bibliometric Review by Flavio Leandro de Morais, Raysa Carla Leal da Silva, Anna Beatriz Silva, Estefani Pontes Simao, Maria Eduarda Ferro de Mello, Stephany Paula da Silva Canejo, Katia Maria Mendes, Waldemar Brandao Neto, Jackson Raniel Florencio da Silva, Maicon Herverton Lino Ferreira da Silva Barros, Patricia Takako Endo

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Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach by Isha Gupta, Anu Bajaj, Manav Malhotra, Vikas Sharma, Ajith Abraham

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Use of childhood adversity and mental health admission patterns to predict suicide in young people by Anna Tarasenko, Dennis Ougrin

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Development and validation of survival prediction tools in early and late onset colorectal cancer patients by Wanling Li, Jinshan Liu, Yuntong Lan, Dongling Yu, Bingqiang Zhang

“…Abstract This study aims to develop online calculators using machine learning models to predict survival probabilities for early- and late-onset colorectal cancer (EOCRC and LOCRC) over a 1- to 8-year period. …”
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Bioinformatics-based analysis of nicotinamide adenine dinucleotide metabolism-related genes to predict immune status and prognosis for head and neck squamous cell carcinoma patient... by Zhenjie Guan, Xinyu Gu, Lian Zheng

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Analysis of the Full Spitzer Microlensing Sample. I. Dark Remnant Candidates and Gaia Predictions by Krzysztof A. Rybicki, Yossi Shvartzvald, Jennifer C. Yee, Sebastiano Calchi Novati, Eran O. Ofek, Ian A. Bond, Charles Beichman, Geoff Bryden, Sean Carey, Calen Henderson, Wei Zhu, Michael M. Fausnaugh, Benjamin Wibking, The Spitzer Team, Andrzej Udalski, Radek Poleski, Przemek Mróz, Michał K. Szymański, Igor Soszyński, Paweł Pietrukowicz, Szymon Kozłowski, Jan Skowron, Krzysztof Ulaczyk, Patryk Iwanek, Marcin Wrona, The OGLE Collaboration, Yoon-Hyun Ryu, Michael D. Albrow, Sun-Ju Chung, Andrew Gould, Cheongho Han, Kyu-Ha Hwang, Youn Kil Jung, In-Gu Shin, Hongjing Yang, Weicheng Zang, Sang-Mok Cha, Dong-Jin Kim, Hyoun-Woo Kim, Seung-Lee Kim, Chung-Uk Lee, Dong-Joo Lee, Yongseok Lee, Byeong-Gon Park, Richard W. Pogge, The KMTNet Collaboration, Fumio Abe, Richard Barry, David P. Bennett, Aparna Bhattacharya, Akihiko Fukui, Ryusei Hamada, Shunya Hamada, Naoto Hamasaki, Yuki Hirao, Stela Ishitani Silva, Yoshitaka Itow, Rintaro Kirikawa, Naoki Koshimoto, Yutaka Matsubara, Shota Miyazaki, Yasushi Muraki, Tutumi Nagai, Kansuke Nunota, Greg Olmschenk, Clement Ranc, Nicholas J. Rattenbury, Yuki K. Satoh, Takahiro Sumi, Daisuke Suzuki, Paul. J. Tristram, Aikaterini Vandorou, Hibiki Yama, MOA collaboration, Łukasz Wyrzykowski, Kornel Howil, Katarzyna Kruszyńska

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What Should We Know to Predict Geomagnetically Induced Currents in Power Transmission Lines? by Pilipenko Vyacheslav, Kozyreva Olga, Belahovskiy Vladimir, Sakharov Yaroslav, Selivanov Vasiliy

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