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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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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Analysis of key geological structures and rockburst prediction method by Chunchi Ma, Yang Yuan, Xiang Ji, Feng Peng, Ziquan Chen, Hang Zhang

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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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Feasibility of the Implementation of Tools for Heart Failure Risk Prediction by Michael C. Wang, MD, Bridget Dolan, PharmD, Xiaoning Huang, PhD, Priya M. Freaney, MD, Benjamin H. Freed, MD, Lourdes Vega, PharmD, Nikola Markoski, PharmD, MBA, Amy Wainright, PharmD, Bonnie Kane, BS, RDCS, Laura E. Seegmiller, MPH, Sanjiv J. Shah, MD, Clyde W. Yancy, MD, MSc, Ian J. Neeland, MD, Hongyan Ning, MD, MS, Donald M. Lloyd-Jones, MD, ScM, Sadiya S. Khan, MD, MSc

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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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Machine Learning for the Prediction of Thermodynamic Properties in Amorphous Silicon by Nicolás Amigo

“…The MD simulations provided a detailed dataset that captured the atomic-level behavior of the a-Si, which enabled exploration of how thermodynamic factors, such as the cooling rate, temperature, and pressure, affect the material’s density, internal energy, and enthalpy. Machine learning models were trained on this dataset and demonstrated exceptional predictive accuracy with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> values that exceeded 0.95 and minimal root-mean-square errors. …”
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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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Machine Learning-Based Predictive Maintenance for Photovoltaic Systems by Ali Al-Humairi, Enmar Khalis, Zuhair A. Al-Hemyari, Peter Jung

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Research on ionospheric parameters prediction based on deep learning by Yuntian FENG, Xia WU, Xiong XU, Rongqing ZHANG

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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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Machine Learning-Based Prediction of No-Show Telemedicine Encounters by C. Mahony Reategui-Rivera, Wanting Cui, Stefan Escobar-Agreda, Leonardo Rojas-Mezarina, Joseph Finkelstein

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