Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Rajan, Ashwath"'
Autor:
Vovsha, Ilia, Salleb-Aouissi, Ansaf, Raja, Anita, Koch, Thomas, Rybchuk, Alex, Radeva, Axinia, Rajan, Ashwath, Huang, Yiwen, Diab, Hatim, Tomar, Ashish, Wapner, Ronald
We describe an application of machine learning to the problem of predicting preterm birth. We conduct a secondary analysis on a clinical trial dataset collected by the National In- stitute of Child Health and Human Development (NICHD) while focusing
Externí odkaz:
http://arxiv.org/abs/1607.07959
Autor:
Vovsha, Ilia, Salleb-Aouissi, Ansaf, Radeva, Axinia, Raja, Anita, Diab, Hatim, Tomar, Ashish, Rajan, Ashwath
Preterm birth is a major public health problem with profound implications on society. There would be extreme value in being able to identify women at risk of preterm birth during the course of their pregnancy. Previous research has largely focused on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e3139d7513a2c047c8a5f95d70f1776
Publikováno v:
MRS Online Proceedings Library; 2007, Vol. 1043 Issue 1, p1-6, 6p
