Search Results - "machines"

Using machine learning to develop a five-item short form of the children's depression inventory by Shumei Lin, Chengwei Wang, Xiuyu Jiang, Qian Zhang, Dan Luo, Jing Li, Junyi Li, Jiajun Xu

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Transcription factor expression as a predictor of colon cancer prognosis: a machine learning practice by Jiannan Liu, Chuanpeng Dong, Guanglong Jiang, Xiaoyu Lu, Yunlong Liu, Huanmei Wu

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Approach to machine learning for extraction of real-world data variables from electronic health records by Blythe Adamson, Blythe Adamson, Michael Waskom, Auriane Blarre, Jonathan Kelly, Konstantin Krismer, Sheila Nemeth, James Gippetti, John Ritten, Katherine Harrison, George Ho, Robin Linzmayer, Tarun Bansal, Samuel Wilkinson, Guy Amster, Evan Estola, Corey M. Benedum, Erin Fidyk, Melissa Estévez, Will Shapiro, Aaron B. Cohen, Aaron B. Cohen

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Identification of Potential Feature Genes in CRSwNP Using Bioinformatics Analysis and Machine Learning Strategies by Wang H, Xu X, Lu H, Zheng Y, Shao L, Lu Z, Zhang Y, Song X

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Developer Perspectives on Potential Harms of Machine Learning Predictive Analytics in Health Care: Qualitative Analysis by Ariadne A Nichol, Pamela L Sankar, Meghan C Halley, Carole A Federico, Mildred K Cho

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{'en_US': 'The Interpretable Machine Learning among Students and Lectures during the COVID-19 Pandemic'} by Elihami Elihami, Van David, Mohd. Melbourne

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COVID-19 pandemic prediction model based on machine learning in selected regions of the Russian Federation by D. V. Gavrilov, R. V. Abramov, А. V. Kirilkina, А. А. Ivshin, R. E. Novitskiy

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Gene targeting in amyotrophic lateral sclerosis using causality-based feature selection and machine learning by Kyriaki Founta, Dimitra Dafou, Eirini Kanata, Theodoros Sklaviadis, Theodoros P. Zanos, Anastasios Gounaris, Konstantinos Xanthopoulos

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Embracing the uncertainty in human-machine collaboration to support clinical decision-making for mental health conditions by Ram Popat, Julia Ive

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Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis by Steven T Simon, Katy E Trinkley, Daniel C Malone, Michael Aaron Rosenberg

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Machine learning approach to study social determinants of chronic illness in India: A comparative analysis by Aakanksha Agarwala, Barun Barua, Genevieve Chyrmang, Manab Deka, Kangkana Bora

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Individualized prediction of chronic kidney disease for the elderly in longevity areas in China: Machine learning approaches by Dai Su, Xingyu Zhang, Xingyu Zhang, Kevin He, Yingchun Chen, Yingchun Chen, Nina Wu

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Developing a dengue forecast model using machine learning: A case study in China. by Pi Guo, Tao Liu, Qin Zhang, Li Wang, Jianpeng Xiao, Qingying Zhang, Ganfeng Luo, Zhihao Li, Jianfeng He, Yonghui Zhang, Wenjun Ma

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Prediction of Antioxidant Activity of Cherry Fruits from UAS Multispectral Imagery Using Machine Learning by Christos Karydas, Miltiadis Iatrou, Dimitrios Kouretas, Anastasia Patouna, George Iatrou, Nikolaos Lazos, Sandra Gewehr, Xanthi Tseni, Fotis Tekos, Zois Zartaloudis, Evangelos Mainos, Spiros Mourelatos

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Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer Cells by Shuyun He, Shuyun He, Duancheng Zhao, Duancheng Zhao, Yanle Ling, Yanle Ling, Hanxuan Cai, Hanxuan Cai, Yike Cai, Jiquan Zhang, Ling Wang, Ling Wang

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A novel machine learning model for predicting clinical pregnancy after laparoscopic tubal anastomosis by Nan Ding, Jian Zhang, Peili Wang, Fang Wang

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Sentiment analysis of epidemiological surveillance reports on COVID-19 in Greece using machine learning models by Christos Stefanis, Elpida Giorgi, Konstantinos Kalentzis, Athanasios Tselemponis, Evangelia Nena, Christina Tsigalou, Christos Kontogiorgis, Yiannis Kourkoutas, Ekaterini Chatzak, Ioannis Dokas, Theodoros Constantinidis, Eugenia Bezirtzoglou

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HBOC-301 in Porcine Kidney Normothermic Machine Perfusion and the Effect of Vitamin C on Methemoglobin Formation by Eileen Edgworth, Lisa Ernst, Zoltan Czigany, Turgay Saritas, Laura Sophie Zarnitz, Marc Wiartalla, Peter Boor, Eva Miriam Buhl, Rolf Rossaint, René H. Tolba, Benedict Doorschodt, Gregor Fabry, Christian Bleilevens

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The Impact of Teachable Machine on Middle School Teachers' Perceptions of Science Lessons after Professional Development by Terri L. Kurz, Suren Jayasuriya, Kimberlee Swisher, John Mativo, Ramana Pidaparti, Dawn T. Robinson

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Comprehensively analysis of immunophenotyping signature in triple-negative breast cancer patients based on machine learning by Lijuan Tang, Zhe Zhang, Jun Fan, Jing Xu, Jiashen Xiong, Lu Tang, Yan Jiang, Shu Zhang, Gang Zhang, Wentian Luo, Yan Xu

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