Bilaketaren emaitzak - "Machine Learning"

Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection nork Zhou, Xuefeng, Wu, Hongmin, Rojas, Juan, Xu, Zhihao, Li, Shuai

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Assistenzsysteme zur Reduktion des Schädigungsverhaltens von Komponenten einer mobilen Arbeitsmaschine nork Brinkschulte, Lars

Gaiak: “...Machine Learning...”
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Assistenzsysteme zur Reduktion des Schädigungsverhaltens von Komponenten einer mobilen Arbeitsmaschine nork Brinkschulte, Lars

Gaiak: “...Machine Learning...”
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Revealing Media Bias in News Articles NLP Techniques for Automated Frame Analysis / nork Hamborg, Felix

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Electroencephalogram-Driven Machine-Learning Scenario for Assessing Impulse Control Disorder Comorbidity in Parkinson’s Disease Using a Low-Cost, Custom LEGO-Like Headset nork Wei-Che Lin, Wei-Jen Chen, Yueh-Sheng Chen, Hsing-Yi Liang, Cheng-Hsien Lu, Yuan-Pin Lin

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Binary classification of users of electronic cigarettes and smokeless tobacco through biomarkers to assess similarity with current and former smokers: machine learning applied to the population assessment of tobacco and health study nork Hiromi Ohara, Shigeaki Ito, Yuichiro Takanami

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Application of Machine Learning Prediction of Individual SARS-CoV-2 Vaccination and Infection Status to the French Serosurveillance Survey From March 2020 to 2022: Cross-Sectional Study nork Stéphanie Bougeard, Adeline Huneau-Salaun, Mikael Attia, Jean-Baptiste Richard, Caroline Demeret, Johnny Platon, Virginie Allain, Stéphane Le Vu, Sophie Goyard, Véronique Gillon, Sibylle Bernard-Stoecklin, Bernadette Crescenzo-Chaigne, Gabrielle Jones, Nicolas Rose, Sylvie van der Werf, Olivier Lantz, Thierry Rose, Harold Noël

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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 nork 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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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 nork 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" nork 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 nork Xuan Li, Hanxiyue Zhang, Shuangyu Zhao, Kun Tang

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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 nork 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 nork 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 nork 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 nork 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 nork Qiheng Gou, Qiheng Gou, Zijian Liu, Yuxin Xie, Yuxin Xie, Yulan Deng, Ji Ma, Jiangping Li, Hong Zheng, Hong Zheng

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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 nork 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 nork 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 nork Felipe Mendes Delpino, Ândria Krolow Costa, Leandro Faria Rodrigues, Bruno Pereira Nunes

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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 nork 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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