Ahmad Hammoudeh, Ghazi Al-Naymat, Ibrahim Ghannam, Nadim Obied. Predicting Hospital Readmission among Diabetics using Deep Learning. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, November 5-8, 2018, Leuven, Belgium. Volume 141 of Procedia Computer Science, pages 484-489, Elsevier, 2018. [doi]
@inproceedings{HammoudehAGO18, title = {Predicting Hospital Readmission among Diabetics using Deep Learning}, author = {Ahmad Hammoudeh and Ghazi Al-Naymat and Ibrahim Ghannam and Nadim Obied}, year = {2018}, doi = {10.1016/j.procs.2018.10.138}, url = {https://doi.org/10.1016/j.procs.2018.10.138}, researchr = {https://researchr.org/publication/HammoudehAGO18}, cites = {0}, citedby = {0}, pages = {484-489}, booktitle = {The 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, November 5-8, 2018, Leuven, Belgium}, editor = {Elhadi M. Shakshuki and Ansar-Ul-Haque Yasar}, volume = {141}, series = {Procedia Computer Science}, publisher = {Elsevier}, }