%0 Conference Paper %1 conf/euspn/PintoFNAM20 %A Pinto, Ana %A Ferreira, Diana %A Neto, Cristiana %A Abelha, António %A Machado, José %B EUSPN/ICTH %D 2020 %E Shakshuki, Elhadi M. %E Yasar, Ansar-Ul-Haque %I Elsevier %K dblp %P 562-567 %T Data Mining to Predict Early Stage Chronic Kidney Disease. %U http://dblp.uni-trier.de/db/conf/euspn/euspn2020.html#PintoFNAM20 %V 177

@inproceedings{conf/euspn/PintoFNAM20, added-at = {2022-07-27T00:00:00.000+0200}, author = {Pinto, Ana and Ferreira, Diana and Neto, Cristiana and Abelha, António and Machado, José}, biburl = {https://www.bibsonomy.org/bibtex/284dacd3fe688f78aa497bab6c74fe07c/dblp}, booktitle = {EUSPN/ICTH}, crossref = {conf/euspn/2020}, editor = {Shakshuki, Elhadi M. and Yasar, Ansar-Ul-Haque}, ee = {https://doi.org/10.1016/j.procs.2020.10.079}, interhash = {8d5372adbf1961daff0d746eea863750}, intrahash = {84dacd3fe688f78aa497bab6c74fe07c}, keywords = {dblp}, pages = {562-567}, publisher = {Elsevier}, series = {Procedia Computer Science}, timestamp = {2024-04-09T21:55:39.000+0200}, title = {Data Mining to Predict Early Stage Chronic Kidney Disease.}, url = {http://dblp.uni-trier.de/db/conf/euspn/euspn2020.html#PintoFNAM20}, volume = 177, year = 2020 }