%0 Book Section %1 series/sci/AlloghaniAHLA20 %A Alloghani, Mohamed %A Al-Jumeily, Dhiya %A Hussain, Abir %A Liatsis, Panagiotis %A Aljaaf, Ahmed J. %B Nature-Inspired Computation in Data Mining and Machine Learning %D 2020 %E Yang, Xin-She %E He, Xingshi %I Springer %K dblp %P 187-206 %T Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients. %U http://dblp.uni-trier.de/db/series/sci/sci855.html#AlloghaniAHLA20 %V 855 %@ 978-3-030-28553-1

@incollection{series/sci/AlloghaniAHLA20, added-at = {2024-05-07T00:00:00.000+0200}, author = {Alloghani, Mohamed and Al-Jumeily, Dhiya and Hussain, Abir and Liatsis, Panagiotis and Aljaaf, Ahmed J.}, biburl = {https://www.bibsonomy.org/bibtex/218323112484417fd49b2da374cfc9f6b/dblp}, booktitle = {Nature-Inspired Computation in Data Mining and Machine Learning}, crossref = {series/sci/855}, editor = {Yang, Xin-She and He, Xingshi}, ee = {https://doi.org/10.1007/978-3-030-28553-1_9}, interhash = {2ec152dfe40fadf6f8ee380d2248cc79}, intrahash = {18323112484417fd49b2da374cfc9f6b}, isbn = {978-3-030-28553-1}, keywords = {dblp}, pages = {187-206}, publisher = {Springer}, series = {Studies in Computational Intelligence}, timestamp = {2024-05-13T09:54:20.000+0200}, title = {Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients.}, url = {http://dblp.uni-trier.de/db/series/sci/sci855.html#AlloghaniAHLA20}, volume = 855, year = 2020 }