Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder
- DOI
- 10.1016/j.artmed.2020.101819
- Published
- 2020-06
- Container
- Artificial Intelligence in Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2020.101819,
title = {Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder},
author = {Mahdi Amina and Javad Yazdani and Stefano Rovetta and Francesco Masulli},
year = {2020},
journal = {Artificial Intelligence in Medicine},
doi = {10.1016/j.artmed.2020.101819},
url = {https://doi.org/10.1016/j.artmed.2020.101819}
}RIS
TY - JOUR TI - Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder AU - Mahdi Amina AU - Javad Yazdani AU - Stefano Rovetta AU - Francesco Masulli PY - 2020 JO - Artificial Intelligence in Medicine DO - 10.1016/j.artmed.2020.101819 UR - https://doi.org/10.1016/j.artmed.2020.101819 ER -
APA
Amina, M., Yazdani, J., Rovetta, S., & Masulli, F. (2020). Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder. Artificial Intelligence in Medicine. https://doi.org/10.1016/j.artmed.2020.101819
Source records
- crossref · retrieved 2026-09-25T19:37:17.107Z