Search Results - "machines"

Machine Learning-Based Analysis Reveals Triterpene Saponins and Their Aglycones in <i>Cimicifuga racemosa</i> as Critical Mediators of AMPK Activation by Jürgen Drewe, Verena Schöning, Ombeline Danton, Alexander Schenk, Georg Boonen

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A Machine Learning Approach to Uncovering Hidden Utilization Patterns of Early Childhood Dental Care Among Medicaid-Insured Children by Jin Peng, Xianlong Zeng, Janice Townsend, Janice Townsend, Gilbert Liu, Yungui Huang, Simon Lin

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Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation by Jiajin He, Jinhua Li, Siqing Jiang, Wei Cheng, Jun Jiang, Yun Xu, Jiezhe Yang, Xin Zhou, Chengliang Chai, Chao Wu

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Machine Learning of Single-Cell Transcriptome Highly Identifies mRNA Signature by Comparing F-Score Selection with DGE Analysis by Pengfei Liang, Wuritu Yang, Xing Chen, Chunshen Long, Lei Zheng, Hanshuang Li, Yongchun Zuo

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Tacrolimus pharmacokinetics in pediatric nephrotic syndrome: A combination of population pharmacokinetic modelling and machine learning approaches to improve individual prediction by Qiongbo Huang, Xiaobin Lin, Yang Wang, Xiujuan Chen, Wei Zheng, Xiaoli Zhong, Dewei Shang, Min Huang, Xia Gao, Hui Deng, Jiali Li, Fangling Zeng, Xiaolan Mo

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Risk Factors and Predictive Models for Peripherally Inserted Central Catheter Unplanned Extubation in Patients With Cancer: Prospective, Machine Learning Study by Jinghui Zhang, Guiyuan Ma, Sha Peng, Jianmei Hou, Ran Xu, Lingxia Luo, Jiaji Hu, Nian Yao, Jiaan Wang, Xin Huang

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A kinetic and Kinematic analysis in two assessment situation with bench press. Free Weight vs Smith Machine. Project pilot. by I. J. Bautista, I. J. Chirosa, J. Arguelles, J. M. Monje, L. J. Chirosa

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Prediction of postpartum hemorrhage using traditional statistical analysis and a machine learning approachAJOG Global Reports at a Glance by Vahid Mehrnoush, MD, Amene Ranjbar, MD, Mohammadsadegh Vahidi Farashah, PhD, Fatemeh Darsareh, PhD, Mitra Shekari, MSc, Malihe Shirzadfard Jahromi, MSc

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Influence of Hamstring Tightness on the Functions of Lumbar and Pelvic Regions among Sewing Machine Operators in a Garment Factory of Colombo District by Game Kankanamage Kanishka, Hansika Sandamali, Isuru Weerasinghe, Lakmali Binduhewa, Chathurangi Dilshara, Chandodini De Silva, Denika Silva, Aindralal Balasuriya

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Machine learning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality by Daniela Krepper, Matteo Cesari, Niclas J. Hubel, Philipp Zelger, Monika J. Sztankay

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Development of a Machine-Learning-Based Classifier for the Identification of Head and Body Impacts in Elite Level Australian Rules Football Players by Peter Goodin, Peter Goodin, Andrew J. Gardner, Andrew J. Gardner, Andrew J. Gardner, Nasim Dokani, Ben Nizette, Saeed Ahmadizadeh, Suzi Edwards, Suzi Edwards, Suzi Edwards, Grant L. Iverson, Grant L. Iverson, Grant L. Iverson, Grant L. Iverson, Grant L. Iverson

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Using Hypothesis-Led Machine Learning and Hierarchical Cluster Analysis to Identify Disease Pathways Prior to Dementia: Longitudinal Cohort Study by Shih-Tsung Huang, Fei-Yuan Hsiao, Tsung-Hsien Tsai, Pei-Jung Chen, Li-Ning Peng, Liang-Kung Chen

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Improving prediction of tacrolimus concentration using a combination of population pharmacokinetic modeling and machine learning in chinese renal transplant recipients by Yu-Ping Wang, Xiao-Ling Lu, Kun Shao, Hao-Qiang Shi, Pei-Jun Zhou, Bing Chen

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Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Scoping Review by Julia Cummerow, Christin Wienecke, Nicola Engler, Philip Marahrens, Philipp Gruening, Jost Steinhäuser

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A kinetic and Kinematic analysis in two assessment situation with bench press. Free Weight vs Smith Machine. Project pilot. by I. J. Bautista, I. J. Chirosa, J. Arguelles, J. M. Monje, L. J. Chirosa

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De Novo Drug Design Using Transformer-Based Machine Translation and Reinforcement Learning of an Adaptive Monte Carlo Tree Search by Dony Ang, Cyril Rakovski, Hagop S. Atamian

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Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques by Habtamu Setegn Ngusie, Getanew Aschalew Tesfa, Asefa Adimasu Taddese, Ermias Bekele Enyew, Tilahun Dessie Alene, Gebremeskel Kibret Abebe, Agmasie Damtew Walle, Alemu Birara Zemariam

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Possibilities of Detecting Pre-clinical Forms of Atherosclerosis During Periodic Preventive Inspections in Organized Collectives at Workers of Machine Building Enterprises by A. N. Britov, N. A. Eliseeva, A. D. Deev, S. A. Shalnova

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Machine learning with routine electronic medical record data to identify people at high risk of disengagement from HIV care in Tanzania. by Carolyn A Fahey, Linqing Wei, Prosper F Njau, Siraji Shabani, Sylvester Kwilasa, Werner Maokola, Laura Packel, Zeyu Zheng, Jingshen Wang, Sandra I McCoy

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Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population: Data from NHANES by Kexing Han, Kexuan Tan, Jiapei Shen, Yuting Gu, Zilong Wang, Jiayu He, Luyang Kang, Weijie Sun, Long Gao, Yufeng Gao

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