Search Results - "machines"

Robust identification key predictors of short- and long-term weight status in children and adolescents by machine learning by Hengyan Liu, Yang Leng, Yik-Chung Wu, Pui Hing Chau, Thomas Wai Hung Chung, Daniel Yee Tak Fong

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Identification of radiographic characteristics associated with pain in hallux valgus patients: A preliminary machine learning study by ChenGuang Wang, Chao Li, Rui Zhang, ZhiJun Li, HuaFeng Zhang, Yuan Zhang, Shen Liu, XiaoYue Chi, Rui Zhao

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Accuracy of machine learning in identification of dental implant systems in radiographs - A systematic review and meta-analysis by Veena Benakatti, Ramesh P Nayakar, Mallikarjun Anandhalli, Vasanti Lagali-Jirge

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The key to an effective AI-powered digital pathology: Establishing a symbiotic workflow between pathologists and machine by Mohammad Hossein Jarrahi, Vahid Davoudi, Mohammad Haeri

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COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques by Zunera Jalil, Ahmed Abbasi, Abdul Rehman Javed, Muhammad Badruddin Khan, Mozaherul Hoque Abul Hasanat, Khalid Mahmood Malik, Abdul Khader Jilani Saudagar

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Re-Imagining Machine Learning in Dental Research: A Lesson Learned from the COVID-19 Pandemic by Jafar Kolahi, Mohammad Seyedhamzeh, David G Dunning, Nader Kalbasi

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Machine learning predicts improvement of functional outcomes in traumatic brain injury patients after inpatient rehabilitation by Irene Say, Yiling Elaine Chen, Matthew Z. Sun, Jingyi Jessica Li, Daniel C. Lu, Daniel C. Lu, Daniel C. Lu

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Early Prediction Model for Critical Illness of Hospitalized COVID-19 Patients Based on Machine Learning Techniques by Yacheng Fu, Yacheng Fu, Weijun Zhong, Weijun Zhong, Tao Liu, Jianmin Li, Kui Xiao, Xinhua Ma, Lihua Xie, Junyi Jiang, Junyi Jiang, Honghao Zhou, Honghao Zhou, Rong Liu, Rong Liu, Wei Zhang, Wei Zhang

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Developing a nomogram for predicting depression in diabetic patients after COVID-19 using machine learning by Haewon Byeon, Haewon Byeon

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EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality Prediction by Fangping Wan, Shuya Li, Tingzhong Tian, Yipin Lei, Dan Zhao, Jianyang Zeng

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Machine learning predictive system based upon radiodensitometric distributions from mid-thigh CT images by Marco Recenti, Carlo Ricciardi, Kyle Edmunds, Magnus K. Gislason, Paolo Gargiulo

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Leveraging Automated Machine Learning for the Analysis of Global Public Health Data: A Case Study in Malaria by Elisabetta Manduchi, Elisabetta Manduchi, Jason H. Moore, Jason H. Moore

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Gene Polymorphisms of the Renin-Angiotensin System and Bleeding Complications of Warfarin: Genetic-Based Machine Learning Models by Joo-Hee Kim, Jeong Yee, Byung-Chul Chang, Hye-Sun Gwak

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Quantitative structure-activity relationship study of amide derivatives as xanthine oxidase inhibitors using machine learning by Xiaoda Yang, Hongshun Qiu, Yuxiang Zhang, Peijian Zhang

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An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis by Yao Zhang, Xu Wang, Haohua Xiu, Wei Chen, Yongxin Ma, Guowu Wei, Lei Ren, Luquan Ren

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The Adverse Effects and Nonmedical Use of Methylphenidate Before and After the Outbreak of COVID-19: Machine Learning Analysis by Hocheol Shin, Cindra Tri Yuniar, SuA Oh, Sujata Purja, Sera Park, Haeun Lee, Eunyoung Kim

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Prediction of spherical equivalent difference before and after cycloplegia in school-age children with machine learning algorithms by Bei Du, Qingxin Wang, Yuan Luo, Nan Jin, Hua Rong, Xilian Wang, Hong Nian, Li Guo, Meng Liang, Ruihua Wei

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Applying interpretable machine learning workflow to evaluate exposure-response relationships for large‐molecule oncology drugs by Gengbo Liu, James Lu, Hong Seo Lim, Jin Yan Jin, Dan Lu

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Integrated virtual screening, molecular modeling and machine learning approaches revealed potential natural inhibitors for epilepsy by Faez Falah Alshehri

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Machine learning for maternal health: Predicting delivery location in a community health worker program in Zanzibar by Alma Fredriksson, Isabel R. Fulcher, Isabel R. Fulcher, Allyson L. Russell, Tracey Li, Yi-Ting Tsai, Samira S. Seif, Rose N. Mpembeni, Bethany Hedt-Gauthier, Bethany Hedt-Gauthier

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