%0 Book Section %1 FergusHuangHamdan16c6 %A Fergus, Paul %A Huang, De-Shuang %A Hamdan, Hani %B Applied Computing in Medicine and Health %C Amsterdam %D 2016 %E Al-Jumeily, Dhiya %E Hussain, Abir %E Mallucci, Conor %E Oliver, Carol %I Elsevier and Morgan Kaufmann %K 02021 8paper 9relx ai analysis data health learn %P 125--146 %R 10.1016/B978-0-12-803468-2.00006-0 %T Prediction of Intrapartum Hypoxia from Cardiotocography Data Using Machine Learning %& 6 %@ 978-0-12-803468-2

@incollection{FergusHuangHamdan16c6, added-at = {2019-03-23T19:34:25.000+0100}, address = {Amsterdam}, author = {Fergus, Paul and Huang, De-Shuang and Hamdan, Hani}, biburl = {https://www.bibsonomy.org/bibtex/228e34ecf639eeec6964e61e6d32c1ddb/flint63}, booktitle = {Applied Computing in Medicine and Health}, chapter = 6, doi = {10.1016/B978-0-12-803468-2.00006-0}, editor = {Al-Jumeily, Dhiya and Hussain, Abir and Mallucci, Conor and Oliver, Carol}, file = {copy:201x/6/FergusHuangHamdan16c6.pdf:PDF}, gender = {pp}, interhash = {a85b41ff17d7bf884c7ffbfa3c25f1c2}, intrahash = {28e34ecf639eeec6964e61e6d32c1ddb}, isbn = {978-0-12-803468-2}, keywords = {02021 8paper 9relx ai analysis data health learn}, owner = {flint}, pages = {125--146}, pagetotal = {366}, publisher = {Elsevier and Morgan Kaufmann}, referencetype = {incollection}, series = {Emerging Topics in Computer Science and Applied Computing}, timestamp = {2019-03-31T12:27:16.000+0200}, title = {Prediction of Intrapartum Hypoxia from Cardiotocography Data Using Machine Learning}, x.asin = {0128034688}, x.sortdate = {2016-01-01T00:00:06}, year = 2016 }