Search Results - "Machine Learning"

Predictive modeling of gestational weight gain: a machine learning multiclass classification study by Audêncio Victor, Hellen Geremias dos Santos, Gabriel Ferreira Santos Silva, Fabiano Barcellos Filho, Alexandre de Fátima Cobre, Liania A. Luzia, Patrícia H.C. Rondó, Alexandre Dias Porto Chiavegatto Filho

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An Interpretable Machine Learning Approach to Predict Sensory Processing Sensitivity Trait in Nursing Students by Alicia Ponce-Valencia, Diana Jiménez-Rodríguez, Juan José Hernández Morante, Carlos Martínez Cortés, Horacio Pérez-Sánchez, Paloma Echevarría Pérez

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Predicting the efficiency of chidamide in patients with angioimmunoblastic T-cell lymphoma using machine learning algorithm by Chunlan Zhang, Juan Xu, Mingyu Gu, Yun Tang, Wenjiao Tang, Jie Wang, Qinyu Liu, Yunfan Yang, Xushu Zhong, Caigang Xu

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Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events by Michele Miller, William Romine, Terry Oroszi

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A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions by Ruwen Fulek, Selina Ramm, Christian Kiera, Miriam Pein-Hackelbusch, Ulrich Odefey

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Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning by Martin Becker, Martin Becker, Martin Becker, Martin Becker, Jennifer Dai, Jennifer Dai, Jennifer Dai, Alan L. Chang, Alan L. Chang, Alan L. Chang, Dorien Feyaerts, Ina A. Stelzer, Miao Zhang, Miao Zhang, Miao Zhang, Eloise Berson, Eloise Berson, Eloise Berson, Geetha Saarunya, Geetha Saarunya, Geetha Saarunya, Davide De Francesco, Davide De Francesco, Davide De Francesco, Camilo Espinosa, Camilo Espinosa, Camilo Espinosa, Yeasul Kim, Yeasul Kim, Yeasul Kim, Ivana Marić, Ivana Marić, Ivana Marić, Samson Mataraso, Samson Mataraso, Samson Mataraso, Seyedeh Neelufar Payrovnaziri, Seyedeh Neelufar Payrovnaziri, Seyedeh Neelufar Payrovnaziri, Thanaphong Phongpreecha, Thanaphong Phongpreecha, Thanaphong Phongpreecha, Neal G. Ravindra, Neal G. Ravindra, Neal G. Ravindra, Sayane Shome, Sayane Shome, Sayane Shome, Yuqi Tan, Yuqi Tan, Melan Thuraiappah, Melan Thuraiappah, Melan Thuraiappah, Lei Xue, Lei Xue, Lei Xue, Jonathan A. Mayo, Cecele C. Quaintance, Ana Laborde, Lucy S. King, Firdaus S. Dhabhar, Firdaus S. Dhabhar, Firdaus S. Dhabhar, Firdaus S. Dhabhar, Ian H. Gotlib, Ronald J. Wong, Martin S. Angst, Gary M. Shaw, David K. Stevenson, Brice Gaudilliere, Brice Gaudilliere, Nima Aghaeepour, Nima Aghaeepour, Nima Aghaeepour

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Automating areas of interest analysis in mobile eye tracking experiments based on machine learning by Julian Wolf, Stephan Hess, David Bachmann, Quentin Lohmeyer, Mirko Meboldt

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Machine Learning-Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review by Muralitharan, Sankavi, Nelson, Walter, Di, Shuang, McGillion, Michael, Devereaux, PJ, Barr, Neil Grant, Petch, Jeremy

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Bibliometric and visual analysis of machine learning-based research in acute kidney injury worldwide by Xiang Yu, RiLiGe Wu, YuWei Ji, Zhe Feng

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An Application of Machine Learning Techniques to Analyze Patient Information to Improve Oral Health Outcomes by Nazila Ameli, Monica Prasad Gibson, Amreesh Khanna, Madison Howey, Hollis Lai

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Machine learning algorithms to estimate everolimus exposure trained on simulated and patient pharmacokinetic profiles by Marc Labriffe, Jean‐Baptiste Woillard, Jean Debord, Pierre Marquet

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Prediction of endotracheal tube size in pediatric patients: Development and validation of machine learning models by Miao Zhou, Miao Zhou, Wen.Y. Xu, Sheng Xu, Qing L. Zang, Qi Li, Qi Li, Li Tan, Li Tan, Yong C. Hu, Ning Ma, Jian H. Xia, Kun Liu, Min Ye, Fei Y. Pu, Liang Chen, Li J. Song, Li J. Song, Yang Liu, Lai Jiang, Lin Gu, Zui Zou, Zui Zou

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Update to improve reproducibility and interpretability: A response to "Machine Learning for Tumor Growth Inhibition" by Phyllis Chan, James Lu, René Bruno, Jin Y. Jin

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Assessing Children's Fine Motor Skills With Sensor-Augmented Toys: Machine Learning Approach by Brons, Annette, de Schipper, Antoine, Mironcika, Svetlana, Toussaint, Huub, Schouten, Ben, Bakkes, Sander, Kröse, Ben

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Prediction of tuberculosis using an automated machine learning platform for models trained on synthetic data by Hooman H Rashidi, Imran H Khan, Luke T Dang, Samer Albahra, Ujjwal Ratan, Nihir Chadderwala, Wilson To, Prathima Srinivas, Jeffery Wajda, Nam K Tran

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Predicting the grades of Astragali radix using mass spectrometry-based metabolomics and machine learning by Xinyue Yu, Jingxue Nai, Huimin Guo, Xuping Yang, Xiaoying Deng, Xia Yuan, Yunfei Hua, Yuan Tian, Fengguo Xu, Zunjian Zhang, Yin Huang

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Enhancing predictive models for egg donation: time to blastocyst hatching and machine learning insights by Jorge Ten, Leyre Herrero, Ángel Linares, Elisa Álvarez, José Antonio Ortiz, Andrea Bernabeu, Rafael Bernabéu

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Machine Learning-Based CT Radiomics Method for Identifying the Stage of Wilms Tumor in Children by Xiao-Hui Ma, Liqi Shu, Xuan Jia, Hai-Chun Zhou, Ting-Ting Liu, Jia-Wei Liang, Yu-shuang Ding, Min He, Qiang Shu

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Machine Learning to Improve Orientation Estimation in Sports Situations Challenging for Inertial Sensor Use by Marit P. van Dijk, Marit P. van Dijk, Manon Kok, Monique A. M. Berger, Marco J. M. Hoozemans, DirkJan H. E. J. Veeger

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State of the art review on machine learning and artificial intelligence in the study of neonatal necrotizing enterocolitis by Steven J. McElroy, Shiloh R. Lueschow

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