Predicting the risk of malignisation of endometrial hyperplasia in reproductive age by I. M. Ordiyants, A. A. Kuular, A. A. Yamurzina, D. S. Novginov

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Aberrant gene expression prediction across human tissues by Florian R. Hölzlwimmer, Jonas Lindner, Georgios Tsitsiridis, Nils Wagner, Francesco Paolo Casale, Vicente A. Yépez, Julien Gagneur

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Applying Neural Networks to Predict Offshore Platform Dynamics by Nikolas Martzikos, Carlo Ruzzo, Giovanni Malara, Vincenzo Fiamma, Felice Arena

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Biotic resistance predictably shifts microbial invasion regimes by Xiaozhou Ye, Or Shalev, Christoph Ratzke

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Case-only analysis in small studies of predictive biomarkers by M. Hauptmann, V. H. Nguyen, L. Sollfrank, S. C. Linn, K. Jóźwiak

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ANALYSIS OF PREDICTION METHODS FOR THE FUNCTIONAL DURABILITY OF ROAD MARKINGS by V. V. Golubenko, A. A. Aleksandrov, V. V. Sirotyuk

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A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques by Suganya Athisayamani, Tamilazhagan S, A. Robert Singh, Jae-Yong Hwang, Gyanendra Prasad Joshi

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PREDICTION OF MEAT PRODUCT QUALITY BY THE MATHEMATICAL PROGRAMMING METHODS by A. B. Lisitsyn, M. A. Nikitina, A. N. Zakharov, E. B. Sus, V. V. Nasonova, L. I. Lebedeva

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Predicting Fetal Growth with Curve Fitting and Machine Learning by Huan Zhang, Chuan-Sheng Hung, Chun-Hung Richard Lin, Hong-Ren Yu, You-Cheng Zheng, Cheng-Han Yu, Chih-Min Tsai, Ting-Hsin Huang

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Global genetic variations predict brain response to faces. by Erin W Dickie, Amir Tahmasebi, Leon French, Natasa Kovacevic, Tobias Banaschewski, Gareth J Barker, Arun Bokde, Christian Büchel, Patricia Conrod, Herta Flor, Hugh Garavan, Juergen Gallinat, Penny Gowland, Andreas Heinz, Bernd Ittermann, Claire Lawrence, Karl Mann, Jean-Luc Martinot, Frauke Nees, Thomas Nichols, Mark Lathrop, Eva Loth, Zdenka Pausova, Marcela Rietschel, Michal N Smolka, Andreas Ströhle, Roberto Toro, Gunter Schumann, Tomáš Paus, IMAGEN consortium, IMAGEN consortium, IMAGEN consortium

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Machine Learning‐Enabled Drug‐Induced Toxicity Prediction by Changsen Bai, Lianlian Wu, Ruijiang Li, Yang Cao, Song He, Xiaochen Bo

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Seismic Prediction of Shallow Unconsolidated Sand in Deepwater Areas by Jiale Chen, Yingfeng Xie, Tong Wang, Haoyi Zhou, Zhen Zhang, Yonghang Li, Shi Zhang, Wei Deng

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Predicting survival in malignant glioma using artificial intelligence by Wireko Andrew Awuah, Adam Ben-Jaafar, Subham Roy, Princess Afia Nkrumah-Boateng, Joecelyn Kirani Tan, Toufik Abdul-Rahman, Oday Atallah

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Food Sales Prediction Using MLP, RANSAC, and Bagging by Hussam Mezher Merdas, Ayad Hameed Mousa

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Crowd Evacuation in Stadiums Using Fire Alarm Prediction by Afnan A. Alazbah, Osama Rabie, Abdullah Al-Barakati

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Predicting pain and its association with mortality in patients with stroke by Adam Viktorisson, Aref Haj Hashem, Katharina S Sunnerhagen, Tamar Abzhandadze

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Assessing artificial intelligence ability in predicting hospitalization duration for pleural empyema patients managed with uniportal video-assisted thoracoscopic surgery: a retrosp... by Issa Alnajjar, Baraa Alshakarnah, Tasneem AbuShaikha, Tareq Jarrar, Abed Al-Raheem Ozrail, Yousef Abu Asbeh

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A MODEL FOR ASSESSING SHIPPING SAFETY WITHIN PROJECT-ORIENTATED RISK MANAGEMENT BASED ON HUMAN ELEMENT by Svitlana ONYSHCHENKO, Yuriy BYCHKOVSKY, Oleksiy MELNYK, Oleg ONISHCHENKO, Martin JURKOVIČ, Viacheslav RUBSKYI, Kostiantyn LIASHENKO

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Mitochondrial heteroplasmy improves risk prediction for myeloid neoplasms by Yun Soo Hong, Sergiu Pasca, Wen Shi, Daniela Puiu, Nicole J. Lake, Monkol Lek, Meng Ru, Megan L. Grove, Anna Prizment, Corinne E. Joshu, Elizabeth A. Platz, Eliseo Guallar, Dan E. Arking, Lukasz P. Gondek

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Artificial intelligence in risk prediction and diagnosis of vertebral fractures by Srikar R. Namireddy, Saran S. Gill, Amaan Peerbhai, Abith G. Kamath, Daniele S. C. Ramsay, Hariharan Subbiah Ponniah, Ahmed Salih, Dragan Jankovic, Darius Kalasauskas, Jonathan Neuhoff, Andreas Kramer, Salvatore Russo, Santhosh G. Thavarajasingam

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