Search Results - "machines"

Complete blood count as a biomarker for preeclampsia with severe features diagnosis: a machine learning approach by Daniella Castro Araújo, Alexandre Afonso de Macedo, Adriano Alonso Veloso, Patricia Nessralla Alpoim, Karina Braga Gomes, Maria das Graças Carvalho, Luci Maria SantAna Dusse

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A new dawn for evidence synthesis: Embracing machine learning technology to generate living evidence maps by Ofelia Torres, Helen Pearce, John Ford

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The development and implementation of electronic gambling machine policy: a qualitative study of local government policy makers by Sarah Marko, Samantha L. Thomas, Hannah Pitt, Mike Daube

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Ligand-based prediction of hERG-mediated cardiotoxicity based on the integration of different machine learning techniques by Pietro Delre, Pietro Delre, Giovanna J. Lavado, Giuseppe Lamanna, Giuseppe Lamanna, Michele Saviano, Alessandra Roncaglioni, Emilio Benfenati, Giuseppe Felice Mangiatordi, Domenico Gadaleta

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Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study by Peter Washington, Haik Kalantarian, John Kent, Arman Husic, Aaron Kline, Emilie Leblanc, Cathy Hou, Onur Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Chrisman, Kelley Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis Paul Wall

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EXIST: EXamining rIsk of excesS adiposiTy-Machine learning to predict obesity‐related complications by Alexander Turchin, Fritha J. Morrison, Maria Shubina, Ilya Lipkovich, Shraddha Shinde, Nadia N. Ahmad, Hong Kan

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Predicting dental anxiety in young adults: classical statistical modelling approach versus machine learning approach by Chukwuebuka Ogwo, Wisdom Osisioma, David Ifeanyi Okoye, Jay Patel

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Deciphering the role of NETosis-related signatures in the prognosis and immunotherapy of soft-tissue sarcoma using machine learning by Lin Qi, Lin Qi, Fangyue Chen, Lu Wang, Lu Wang, Zhimin Yang, Zhimin Yang, Zhimin Yang, Wenchao Zhang, Wenchao Zhang, Zhihong Li, Zhihong Li

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Predicting complexation performance between cyclodextrins and guest molecules by integrated machine learning and molecular modeling techniques by Qianqian Zhao, Zhuyifan Ye, Yan Su, Defang Ouyang

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Occupational injuries among sewing machine operators in selected garment factories at the Export Processing Zone, Avissawella by Eranga Hasarali Kaushalya Fernando, Pushpa Lalani Jayawardana

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From Ethnomedicine to Plant Biotechnology and Machine Learning: The Valorization of the Medicinal Plant <i>Bryophyllum</i> sp. by Pascual García-Pérez, Eva Lozano-Milo, Mariana Landin, Pedro P. Gallego

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A Predictive Model for Perinatal Brain Injury Using Machine Learning Based on Early Birth Data by Ga Won Jeon, Yeong Seok Lee, Won-Ho Hahn, Yong Hoon Jun

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An exploratory study of the clinical efficiency of combined, machine-driven periodontal curettage and comparison with the conventional manual method by Bence Sándor Karácsonyi, Gábor Braunitzer, Gábor Ősze, László Párkányi

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Automated doubt identification from informal reflections through hybrid sentic patterns and machine learning approach by Siaw Ling Lo, Kar Way Tan, Eng Lieh Ouh

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Digital health technology combining wearable gait sensors and machine learning improve the accuracy in prediction of frailty by Shaoyi Fan, Jieshun Ye, Qing Xu, Runxin Peng, Bin Hu, Zhong Pei, Zhimin Yang, Fuping Xu

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Machine learning-based cognitive load prediction model for AR-HUD to improve OSH of professional drivers by Jian Teng, Jian Teng, Fucheng Wan, Yiquan Kong, Ju-Kyoung Kim

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Driving role of climatic and socioenvironmental factors on human brucellosis in China: machine-learning-based predictive analyses by Hui Chen, Meng-Xuan Lin, Li-Ping Wang, Yin-Xiang Huang, Yao Feng, Li-Qun Fang, Lei Wang, Hong-Bin Song, Li-Gui Wang

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Identifying Psychosocial and Ecological Determinants of Enthusiasm In Youth: Integrative Cross-Sectional Analysis Using Machine Learning by Roberta M Dolling-Boreham, Akshay Mohan, Mohamed Abdelhack, Tara Elton-Marshall, Hayley A Hamilton, Angela Boak, Daniel Felsky

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Corrigendum: 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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Uncovering early predictors of cerebral palsy through the application of machine learning: a case-control study by Miha Lucovnik, Ivan Verdenik, Sara Rapuc, Blaž Stres, Damjan Osredkar

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