Search Results - "machines"

Prediction of COVID-19 patients' participation in financing informal care using machine learning methods: willingness to pay and willingness to accept approaches by Vajihe Ramezani-Doroh, Somayeh Najafi-Ghobadi, Faride Karimi, Maryam Rangchian, Omid Hamidi

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Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System by Omid Mehrpour, Farhad Saeedi, Christopher Hoyte, Foster Goss, Farshad M. Shirazi

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Construction of a machine learning-based prediction model for emotional eating during COVID-19 pandemic among doctors in North China by Qihe WANG, Sana LIU, Haiqin FANG

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Using Unsupervised Machine Learning to Identify Age- and Sex-Independent Severity Subgroups Among Patients with COVID-19: Observational Longitudinal Study by Benito-León, Julián, del Castillo, Mª Dolores, Estirado, Alberto, Ghosh, Ritwik, Dubey, Souvik, Serrano, J Ignacio

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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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Using Machine Learning of Online Expression to Explain Recovery Trajectories: Content Analytic Approach to Studying a Substance Use Disorder Forum by Ellie Fan Yang, Rachel Kornfield, Yan Liu, Ming-Yuan Chih, Prathusha Sarma, David Gustafson, John Curtin, Dhavan Shah

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Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications by Shawen, Nicholas, Lonini, Luca, Mummidisetty, Chaithanya Krishna, Shparii, Ilona, Albert, Mark V, Kording, Konrad, Jayaraman, Arun

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Combined Machine Learning and GRID-Independent Molecular Descriptor (GRIND) Models to Probe the Activity Profiles of 5-Lipoxygenase Activating Protein Inhibitors by Hafiza Aliza Khan, Ishrat Jabeen

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The effect of Shengmai injection in patients with coronary heart disease in real world and its personalized medicine research using machine learning techniques by Jing Ma, Ze Yu, Ting Chen, Ping Li, Yan Liu, Jihui Chen, Chunming Lyu, Xin Hao, Jinyuan Zhang, Shuang Wang, Fei Gao, Jian Zhang, Shuhong Bu

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Comparison of Bayesian, Frequentist and Machine learning models for predicting the two-year mortality of patients diagnosed with squamous cell carcinoma of the oral cavity by Sachit Ganapathy, K.T. Harichandrakumar, Prasanth Penumadu, Kadhiravan Tamilarasu, N. Sreekumaran Nair

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Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer by Leyuan Meng, Ping Zhu, Ping Zhu, Kaijian Xia, Kaijian Xia

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Understanding cross-data dynamics of individual and social/environmental factors through a public health lens: explainable machine learning approaches by Siwoo Jeong, Siwoo Jeong, Sung Bum Yun, Soon Yong Park, Sungchul Mun, Sungchul Mun

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Treatment options and emotional well-being in patients with rosacea: An unsupervised machine learning analysis of over 200,000 postsCapsule Summary by Karan Rajalingam, BS, Nicole Levin, BS, Oge Marques, PhD, James Grichnik, MD, PhD, Ann Lin, DO, Wei-Shen Chen, MD, PhD

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Implementation of Portable Digital Chest X-ray Machine for Tuberculosis Contact Tracing in Oyo and Osun States, Nigeria: A Formative Assessment by Patrick Dakum, Aderonke Agbaje, Olugbenga Daniel, Chukwuma Anyaike, Obioma Chijoke-Akaniro, Evaezi Okpokoro, Samuel Akingbesote, Christian Anyomi, Adekola Adekunle, Abiola Alege, Moroof Gbadamosi, Olutunde Babalola, Charles Mensah, Rupert Eneogu, Austin Ihesie, Debby Nongo, Ademola Adelekan

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A novel energy-saving method for campus wired and dense WiFi network applying machine learning and idle cycling techniques by Ricardo Alvarado, Alvaro Suárez

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A tricarboxylic acid cycle-based machine learning model to select effective drug targets for the treatment of esophageal squamous cell carcinoma by Yicheng Liang, Yicheng Liang, Yicheng Liang, Binghua Tan, Binghua Tan, Minjun Du, Bing Wang, Yushun Gao, Minghui Wang, Minghui Wang

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Pathogenesis-based treatments in primary Sjogren's syndrome using artificial intelligence and advanced machine learning techniques: a systematic literature review by Nathan Foulquier, Pascal Redou, Christophe Le Gal, Bénédicte Rouvière, Jacques-Olivier Pers, Alain Saraux

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Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data by Doryab, Afsaneh, Villalba, Daniella K, Chikersal, Prerna, Dutcher, Janine M, Tumminia, Michael, Liu, Xinwen, Cohen, Sheldon, Creswell, Kasey, Mankoff, Jennifer, Creswell, John D, Dey, Anind K

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Metformin Preconditioning and Postconditioning to Reduce Ischemia Reperfusion Injury in an Isolated Ex Vivo Rat and Porcine Kidney Normothermic Machine Perfusion Model by Tobias M. Huijink, Leonie H. Venema, Rene A. Posma, Nynke J. deVries, Andrie C. Westerkamp, Petra J. Ottens, Daan J. Touw, Maarten W. Nijsten, Henri G.D. Leuvenink

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Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study by Okechinyere J. Achilonu, June Fabian, June Fabian, Brendan Bebington, Brendan Bebington, Elvira Singh, Elvira Singh, Gideon Nimako, Gideon Nimako, M. J. C. Eijkemans, Eustasius Musenge

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