Search Results - "machines"

Construction of machine learning tools to predict threatened miscarriage in the first trimester based on AEA, progesterone and β-hCG in China: a multicentre, observational, case-control study by Jingying Huang, Ping Lv, Yunzhi Lian, Meihua Zhang, Xin Ge, Shuheng Li, Yingxia Pan, Jiangman Zhao, Yue Xu, Hui Tang, Nan Li, Zhishan Zhang

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A Comparison of Machine versus Free-Weight Squats for the Enhancement of Lower-Body Power, Speed, and Change-of-Direction Ability during an Initial Training Phase of Recreationally-Active Women by Neil A. Schwarz, Sean P. Harper, Andy Waldhelm, Sarah K. McKinley-Barnard, Shelley L. Holden, John E. Kovaleski

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Development and Validation of a Prognostic Classification Model Predicting Postoperative Adverse Outcomes in Older Surgical Patients Using a Machine Learning Algorithm: Retrospective Observational Network Study by Jung-Yeon Choi, Sooyoung Yoo, Wongeun Song, Seok Kim, Hyunyoung Baek, Jun Suh Lee, Yoo-Seok Yoon, Seonghae Yoon, Hae-Young Lee, Kwang-il Kim

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mHealth Systems Need a Privacy-by-Design Approach: Commentary on "Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review" by Ambuj Tewari

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Predicting Risky Sexual Behavior Among College Students Through Machine Learning Approaches: Cross-sectional Analysis of Individual Data From 1264 Universities in 31 Provinces in China by Xuan Li, Hanxiyue Zhang, Shuangyu Zhao, Kun Tang

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Interagir avec la « machine » à l'ère du numérique : des représentations des étudiants à l'évaluation de leur performance académique en anglais by Cédric Brudermann

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Integrating Machine Learning and the SHapley Additive exPlanations (SHAP) Framework to Predict Lymph Node Metastasis in Gastric Cancer Patients Based on Inflammation Indices and Peripheral Lymphocyte Subpopulations by Zhu Z, Wang C, Shi L, Li M, Li J, Liang S, Yin Z, Xue Y

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Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms by Florian Lamping, Thomas Jack, Nicole Rübsamen, Michael Sasse, Philipp Beerbaum, Rafael T. Mikolajczyk, Martin Boehne, André Karch

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Improving the prediction of Spreading Through Air Spaces (STAS) in primary lung cancer with a dynamic dual-delta hybrid machine learning model: a multicenter cohort study by Weiqiu Jin, Leilei Shen, Yu Tian, Hongda Zhu, Ningyuan Zou, Mengwei Zhang, Qian Chen, Changzi Dong, Qisheng Yang, Long Jiang, Jia Huang, Zheng Yuan, Xiaodan Ye, Qingquan Luo

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Predictive determinants of overall survival among re-infected COVID-19 patients using the elastic-net regularized Cox proportional hazards model: a machine-learning algorithm by Vahid Ebrahimi, Mehrdad Sharifi, Razieh Sadat Mousavi-Roknabadi, Robab Sadegh, Mohammad Hossein Khademian, Mohsen Moghadami, Afsaneh Dehbozorgi

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Systematic evaluation of tumor microenvironment and construction of a machine learning model to predict prognosis and immunotherapy efficacy in triple-negative breast cancer based on data mining and sequencing validation by Qiheng Gou, Qiheng Gou, Zijian Liu, Yuxin Xie, Yuxin Xie, Yulan Deng, Ji Ma, Jiangping Li, Hong Zheng, Hong Zheng

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Offline Evaluation Matters: Investigation of the Influence of Offline Performance of EMG-Based Neural-Machine Interfaces on User Adaptation, Cognitive Load, and Physical Efforts in a Real-Time Application by Robert M. Hinson, Joseph Berman, I-Chieh Lee, William G. Filer, He Huang

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Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania by Clifford Silver Tarimo, Soumitra S. Bhuyan, Yizhen Zhao, Weicun Ren, Akram Mohammed, Quanman Li, Marilyn Gardner, Michael Johnson Mahande, Yuhui Wang, Jian Wu

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Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis by Carmelo Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert Casson, WengOnn Chan

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ID204 Meta-análise para identificar a capacidade da Machine Learning na predição de diabetes: potencial e impactos da tecnologia na saúde by Felipe Mendes Delpino, Ândria Krolow Costa, Leandro Faria Rodrigues, Bruno Pereira Nunes

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Comparative evaluation of bonding strength of computer aided machined ceramic, pressable ceramic, and milled metal implant abutment copings and effect of surface conditioning on bonding strength: An in vitro study by Sapna Rani, Mahesh Verma, Shubhra Gill, Rekha Gupta

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Screening for frequent hospitalization risk among community-dwelling older adult between 2016 and 2023: machine learning-driven item selection, scoring system development, and prospective validation by Eman Leung, Eman Leung, Jingjing Guan, Jingjing Guan, Qingpeng Zhang, Chun Cheung Ching, Hiliary Yee, Yilin Liu, Hang Sau Ng, Richard Xu, Hector Wing Hong Tsang, Hector Wing Hong Tsang, Albert Lee, Albert Lee, Albert Lee, Frank Youhua Chen

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Corrigendum: Navigating bioactivity space in anti-tubercular drug discovery through the deployment of advanced machine learning models and cheminformatics tools: a molecular modeling based retrospective study by Ratul Bhowmik, Ravi Kant, Ajay Manaithiya, Daman Saluja, Bharti Vyas, Ranajit Nath, Kamal A. Qureshi, Seppo Parkkila, Seppo Parkkila, Ashok Aspatwar

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Predicting missed health care visits during the COVID-19 pandemic using machine learning methods: evidence from 55,500 individuals from 28 European countries by Anna Reuter, Šime Smolić, Till Bärnighausen, Nikkil Sudharsanan

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Label‐free atherosclerosis diagnosis through a blood drop of apolipoprotein E knockout mouse model using surface‐enhanced Raman spectroscopy validated by machine learning algorithm by Sanghwa Lee, Miyeon Jue, Minju Cho, Kwanhee Lee, Bjorn Paulson, Hanjoong Jo, Joon Seon Song, Soo‐Jin Kang, Jun Ki Kim

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