Joseph Finkelstein, Sinan Zhu. Data mining approaches to identify predictors of frequent malpractice claims against dentists. In 8th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017, New York City, NY, USA, October 19-21, 2017. pages 463-468, IEEE, 2017. [doi]
@inproceedings{FinkelsteinZ17-0,
title = {Data mining approaches to identify predictors of frequent malpractice claims against dentists},
author = {Joseph Finkelstein and Sinan Zhu},
year = {2017},
doi = {10.1109/UEMCON.2017.8249086},
url = {https://doi.org/10.1109/UEMCON.2017.8249086},
researchr = {https://researchr.org/publication/FinkelsteinZ17-0},
cites = {0},
citedby = {0},
pages = {463-468},
booktitle = {8th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017, New York City, NY, USA, October 19-21, 2017},
publisher = {IEEE},
isbn = {978-1-5386-1104-3},
}