Bilaketaren emaitzak - "Machine Learning"

Machine learning predicts the prognosis of breast cancer patients with initial bone metastases nork Chaofan Li, Mengjie Liu, Jia Li, Weiwei Wang, Cong Feng, Yifan Cai, Fei Wu, Xixi Zhao, Chong Du, Yinbin Zhang, Yusheng Wang, Shuqun Zhang, Jingkun Qu

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"Determining the efficacy of a machine learning model for measuring periodontal bone loss" nork Diego Cerda Mardini, Patricio Cerda Mardini, Daniela Paz Vicuña Iturriaga, Duniel Ricardo Ortuño Borroto

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Classification Models for COVID-19 Test Prioritization in Brazil: Machine Learning Approach nork Viana dos Santos Santana, Íris, CM da Silveira, Andressa, Sobrinho, Álvaro, Chaves e Silva, Lenardo, Dias da Silva, Leandro, Santos, Danilo F S, Gurjão, Edmar C, Perkusich, Angelo

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Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility nork Andreas D. Meid, Alexander Gerharz, Andreas Groll

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Prediction of Lumbar Drainage-Related Meningitis Based on Supervised Machine Learning Algorithms nork Peng Wang, Shuwen Cheng, Yaxin Li, Li Liu, Jia Liu, Qiang Zhao, Shuang Luo

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Using machine learning surrogate modeling for faster QSP VP cohort generation nork Renée C. Myers, Florian Augustin, Jérémy Huard, Christina M. Friedrich

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Machine Learning in the Management of Lateral Skull Base Tumors: A Systematic Review nork Kotaro Tsutsumi, Sina Soltanzadeh-Zarandi, Pooya Khosravi, Khodayar Goshtasbi, Hamid R. Djalilian, Mehdi Abouzari

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Predicting venous thromboembolism (VTE) risk in cancer patients using machine learning nork Samir Khan Townsley, Debraj Basu, Jayneel Vora, Ted Wun, Chen‐Nee Chuah, Prabhu R. V. Shankar

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The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review nork Zsombor Zrubka, Gábor Kertész, László Gulácsi, János Czere, Áron Hölgyesi, Hossein Motahari Nezhad, Amir Mosavi, Levente Kovács, Atul J Butte, Márta Péntek

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Distinguishing Molecular Properties of OAT, OATP, and MRP Drug Substrates by Machine Learning nork Anisha K. Nigam, Jeremiah D. Momper, Anupam Anand Ojha, Sanjay K. Nigam

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Prediction of 5-year overall survival of tongue cancer based machine learning nork Liangbo Li, Cheng Pu, Nenghao Jin, Liang Zhu, Yanchun Hu, Piero Cascone, Ye Tao, Haizhong Zhang

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Applying Machine Learning to Ultrafast Shape Recognition in Ligand-Based Virtual Screening nork Etienne Bonanno, Jean-Paul Ebejer

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Machine learning to analyze the factors influencing myopia in students of different school periods nork Hao-Jie Tong, Ze-Min Huang, Yu-Lan Li, Yi-Ming Chen, Ben Tian, Ling-Ling Ding, Li-Ling Zhu

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NeoMutate: an ensemble machine learning framework for the prediction of somatic mutations in cancer nork Irantzu Anzar, Angelina Sverchkova, Richard Stratford, Trevor Clancy

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Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults nork Yang Wu, Yang Wu, Yang Wu, Haofei Hu, Haofei Hu, Haofei Hu, Jinlin Cai, Jinlin Cai, Jinlin Cai, Runtian Chen, Runtian Chen, Runtian Chen, Xin Zuo, Heng Cheng, Dewen Yan, Dewen Yan, Dewen Yan

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Machine learning on the road to unlocking microbiota's potential for boosting immune checkpoint therapy nork Szymon Wojciechowski, Monika Majchrzak-Górecka, Paweł Biernat, Krzysztof Odrzywołek, Łukasz Pruss, Konrad Zych, Jan Majta, Kaja Milanowska-Zabel

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Detection of Suicidality Among Opioid Users on Reddit: Machine Learning-Based Approach nork Yao, Hannah, Rashidian, Sina, Dong, Xinyu, Duanmu, Hongyi, Rosenthal, Richard N, Wang, Fusheng

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Prediction and feature selection of low birth weight using machine learning algorithms nork Tasneem Binte Reza, Nahid Salma

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Machine Learning Methods of Providing Informational Management Support for Students' Professional Development nork I. G. Zakharova

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Performance and Limitation of Machine Learning Algorithms for Diabetic Retinopathy Screening: Meta-analysis nork Jo-Hsuan Wu, T Y Alvin Liu, Wan-Ting Hsu, Jennifer Hui-Chun Ho, Chien-Chang Lee

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