Search Results - "feature selection"

Improving Lyme disease testing with data driven test design in pediatrics by Mahmoud Elkhadrawi, Oscar Lopez-Nunez, Murat Akcakaya, Sarah E. Wheeler

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Construction of an Early Alert System for Intradialytic Hypotension before Initiating Hemodialysis Based on Machine Learning by Daqing Hong, Huan Chang, Xin He, Ya Zhan, Rongsheng Tong, Xingwei Wu, Guisen Li

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Classification of Children With Autism and Typical Development Using Eye-Tracking Data From Face-to-Face Conversations: Machine Learning Model Development and Performance Evaluatio... by Zhong Zhao, Haiming Tang, Xiaobin Zhang, Xingda Qu, Xinyao Hu, Jianping Lu

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On the challenges of predicting treatment response in Hodgkin's Lymphoma using transcriptomic data by André Patrício, Rafael S. Costa, Rui Henriques

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Machine learning-assisted prediction of pneumonia based on non-invasive measures by Clement Yaw Effah, Ruoqi Miao, Emmanuel Kwateng Drokow, Clement Agboyibor, Ruiping Qiao, Yongjun Wu, Lijun Miao, Yanbin Wang

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Comparative evaluation of network features for the prediction of breast cancer metastasis by Nahim Adnan, Zhijie Liu, Tim H.M. Huang, Jianhua Ruan

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Identifying key predictive features for live birth rate in advanced maternal age patients undergoing single vitrified-warmed blastocyst transfer by Lidan Liu, Bo Liu, Ming Liao, Qiuying Gan, Qianyi Huang, Yihua Yang

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The value of Bayesian predictive projection for variable selection: an example of selecting lifestyle predictors of young adult well-being by A. Bartonicek, S. R. Wickham, N. Pat, T. S. Conner

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Ethnic disparities in mortality and group-specific risk factors in the UK Biobank. by Kara Keun Lee, Emily T Norris, Lavanya Rishishwar, Andrew B Conley, Leonardo Mariño-Ramírez, John F McDonald, I King Jordan

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A machine learning-based risk warning platform for potentially inappropriate prescriptions for elderly patients with cardiovascular disease by Wu Xingwei, Wu Xingwei, Chang Huan, Li Mengting, Qin Lv, Zhang Jiaying, Long Enwu, Long Enwu, Zhu Jiuqun, Zhu Jiuqun, Tong Rongsheng, Tong Rongsheng

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Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography by Wei Yuan, Jiayi Rao, Yanbin Liu, Sen Li, Lizheng Qin, Xin Huang

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An isomiR expression panel based novel breast cancer classification approach using improved mutual information by Chaowang Lan, Hui Peng, Eileen M. McGowan, Gyorgy Hutvagner, Jinyan Li

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Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis by Zheqing Zhang, Luqian Yang, Wentao Han, Yaoyu Wu, Linhui Zhang, Chun Gao, Kui Jiang, Yun Liu, Huiqun Wu

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Discovery of Depression-Associated Factors From a Nationwide Population-Based Survey: Epidemiological Study Using Machine Learning and Network Analysis by Sang Min Nam, Thomas A Peterson, Kyoung Yul Seo, Hyun Wook Han, Jee In Kang

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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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An evaluation of cervical maturity for Chinese women with labor induction by machine learning and ultrasound images by Yan-Song Liu, Shan Lu, Hong-Bo Wang, Zheng Hou, Chun-Yu Zhang, Yi-Wen Chong, Shuai Wang, Wen-Zhong Tang, Xiao-Lei Qu, Yan Zhang

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Prediction of postpartum hemorrhage (PPH) using machine learning algorithms in a Kenyan population by Santosh Yogendra Shah, Sumant Saxena, Satya Pavitra Rani, Naresh Nelaturi, Sheena Gill, Beth Tippett Barr, Joyce Were, Sammy Khagayi, Gregory Ouma, Victor Akelo, Errol R. Norwitz, Rama Ramakrishnan, Dickens Onyango, Manoj Teltumbade

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Twenty-eight-day in-hospital mortality prediction for elderly patients with ischemic stroke in the intensive care unit: Interpretable machine learning models by Jian Huang, Jian Huang, Wanlin Jin, Xiangjie Duan, Xiaozhu Liu, Xiaozhu Liu, Tingting Shu, Li Fu, Jiewen Deng, Huaqiao Chen, Guojing Liu, Ying Jiang, Ziru Liu

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QSAR Regression Models for Predicting HMG-CoA Reductase Inhibition by Robert Ancuceanu, Patriciu Constantin Popovici, Doina Drăgănescu, Ștefan Busnatu, Beatrice Elena Lascu, Mihaela Dinu

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Development of artificial neural network models for paediatric critical illness in South Africa by Michael A. Pienaar, Joseph B. Sempa, Nicolaas Luwes, Elizabeth C. George, Stephen C. Brown

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