Search Results - "machines"

Building a machine learning-based risk prediction model for second-trimester miscarriage by Sangsang Qi, Shi Zheng, Mengdan Lu, Aner Chen, Yanbo Chen, Xianhu Fu

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A Study on the Estimation Model for the Visitors to Let's Run Park Using Machine Learning by Jin Kook Kim

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Diagnostic and prognostic capabilities of a biomarker and EMR‐based machine learning algorithm for sepsis by Ishan Taneja, Gregory L. Damhorst, Carlos Lopez‐Espina, Sihai Dave Zhao, Ruoqing Zhu, Shah Khan, Karen White, James Kumar, Andrew Vincent, Leon Yeh, Shirin Majdizadeh, William Weir, Scott Isbell, James Skinner, Manubolo Devanand, Syed Azharuddin, Rajamurugan Meenakshisundaram, Riddhi Upadhyay, Anwaruddin Syed, Thomas Bauman, Joseph Devito, Charles Heinzmann, Gregory Podolej, Lanxin Shen, Sanjay Sharma Timilsina, Lucas Quinlan, Setareh Manafirasi, Enrique Valera, Bobby Reddy Jr, Rashid Bashir

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Reduction of therapeutic antibody self-association using yeast-display selections and machine learning by Emily K. Makowski, Hongwei Chen, Matthew Lambert, Eric M. Bennett, Nicole S. Eschmann, Yulei Zhang, Jennifer M. Zupancic, Alec A. Desai, Matthew D. Smith, Wenjia Lou, Amendra Fernando, Timothy Tully, Christopher J. Gallo, Laura Lin, Peter M. Tessier

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Source Attribution of Antibiotic Resistance Genes in Estuarine Aquaculture: A Machine Learning Approach by Helena Sofia Salgueiro, Ana Cristina Ferreira, Ana Sofia Ribeiro Duarte, Ana Botelho

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Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug Discovery. by Sean Ekins, Jair Lage de Siqueira-Neto, Laura-Isobel McCall, Malabika Sarker, Maneesh Yadav, Elizabeth L Ponder, E Adam Kallel, Danielle Kellar, Steven Chen, Michelle Arkin, Barry A Bunin, James H McKerrow, Carolyn Talcott

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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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Application of machine learning for risky sexual behavior interventions among factory workers in China by Fang Zhang, Shiben Zhu, Siyu Chen, Ziyu Hao, Yuan Fang, Huachun Zou, Huachun Zou, Yong Cai, Bolin Cao, Kechun Zhang, He Cao, Yaqi Chen, Tian Hu, Zixin Wang

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Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants by Rebekah M. Leigh, Andrew Pham, Srinandini S. Rao, Farha M. Vora, Gina Hou, Chelsea Kent, Abigail Rodriguez, Arvind Narang, John B. C. Tan, Fu-Sheng Chou

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COVID-19 Prediction With Machine Learning Technique From Extracted Features of Photoplethysmogram Morphology by Nazrul Anuar Nayan, Nazrul Anuar Nayan, Choon Jie Yi, Mohd Zubir Suboh, Nur-Fadhilah Mazlan, Petrick Periyasamy, Muhammad Yusuf Zawir Abdul Rahim, Shamsul Azhar Shah

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Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning by Cole-Lewis, Heather, Varghese, Arun, Sanders, Amy, Schwarz, Mary, Pugatch, Jillian, Augustson, Erik

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Lassa fever cases and mortality in Nigeria: Quantile Regression vs. Machine Learning Models by Timothy Samson, Olukemi Aromolaran, Tosin Akingbade

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Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study by Jing Han, Marco Montagna, Andreas Grammenos, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Ting Dang, Dimitris Spathis, R Andres Floto, Pietro Cicuta, Cecilia Mascolo

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Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study by Omid Eslami, Mohsen Nakhaie, Mohammad Rezaei Zadeh Rukerd, Maryam Azimi, Ellahe Shahabi, Amin Honarmand, Mahdiyeh Khazaneha

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A Model for Assessing the Electromagnetic Safety of an Inductively Coupled, Modular Brain-Machine Interface by Julian Szlawski, Timothy Feleppa, Anand Mohan, Yan T. Wong, Arthur J. Lowery

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Organ and cell-specific biomarkers of Long-COVID identified with targeted proteomics and machine learning by Maitray A. Patel, Michael J. Knauer, Michael Nicholson, Mark Daley, Logan R. Van Nynatten, Gediminas Cepinskas, Douglas D. Fraser

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Refining empiric subgroups of pediatric sepsis using machine-learning techniques on observational data by Yidi Qin, Rebecca I. Caldino Bohn, Aditya Sriram, Kate F. Kernan, Joseph A. Carcillo, Soyeon Kim, Soyeon Kim, Hyun Jung Park

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Prediction of Suicidal Behaviors in the Middle-aged Population: Machine Learning Analyses of UK Biobank by Junren Wang, Jiajun Qiu, Ting Zhu, Yu Zeng, Huazhen Yang, Yanan Shang, Jin Yin, Yajing Sun, Yuanyuan Qu, Unnur A Valdimarsdóttir, Huan Song

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Estimation of postpartum depression risk from electronic health records using machine learning by Guy Amit, Irena Girshovitz, Karni Marcus, Yiye Zhang, Jyotishman Pathak, Vered Bar, Pinchas Akiva

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Estimating the Returns to Education Using a Machine Learning Approach - Evidence for Different Regions by Kamdjou Herve D. Teguim

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