Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care - researchr publication authors

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Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Mohammed Khalaf, Raul V. Casana Eslava, Robert Keight. Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care. In Yulei Wu, Geyong Min, Nektarios Georgalas, Jia Hu, Luigi Atzori, Xiaolong Jin, Stephen A. Jarvis, Lei (Chris) Liu, Ramón Agüero Calvo, editors, 15th IEEE International Conference on Computer and Information Technology, CIT 2015; 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015; 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015; 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015, Liverpool, United Kingdom, October 26-28, 2015. pages 215-220, IEEE, 2015. [doi]

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