Using Kernel Methods and Model Selection for Prediction of Preterm Birth - researchr publication authors

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Ilia Vovsha, Ansaf Salleb-Aouissi, Anita Raja, Thomas Koch, Alex Rybchuk, Axinia Radeva, Ashwath Rajan, Yiwen Huang, Hatim Diab, Ashish Tomar, Ronald J. Wapner. Using Kernel Methods and Model Selection for Prediction of Preterm Birth. In Finale Doshi-Velez, Jim Fackler, David C. Kale, Byron C. Wallace, Jenna Wiens, editors, Proceedings of the 1st Machine Learning in Health Care, MLHC 2016, Los Angeles, CA, USA, August 19-20, 2016. Volume 56 of JMLR Workshop and Conference Proceedings, pages 55-72, JMLR.org, 2016. [doi]

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