Mohammed Sayed, David Riaño 0002. Modelling ICU Patients to Improve Care Requirements and Outcome Prediction of Acute Respiratory Distress Syndrome: A Supervised Learning Approach. In Mar Marcos, Jose M. Juarez, Richard Lenz, Grzegorz J. Nalepa, Slawomir Nowaczyk, Mor Peleg, Jerzy Stefanowski, Gregor Stiglic, editors, Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26-29, 2019, Revised Selected Papers. Volume 11979 of Lecture Notes in Computer Science, pages 39-49, Springer, 2019. [doi]
@inproceedings{SayedR19,
title = {Modelling ICU Patients to Improve Care Requirements and Outcome Prediction of Acute Respiratory Distress Syndrome: A Supervised Learning Approach},
author = {Mohammed Sayed and David Riaño 0002},
year = {2019},
doi = {10.1007/978-3-030-37446-4_4},
url = {https://doi.org/10.1007/978-3-030-37446-4_4},
researchr = {https://researchr.org/publication/SayedR19},
cites = {0},
citedby = {0},
pages = {39-49},
booktitle = {Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26-29, 2019, Revised Selected Papers},
editor = {Mar Marcos and Jose M. Juarez and Richard Lenz and Grzegorz J. Nalepa and Slawomir Nowaczyk and Mor Peleg and Jerzy Stefanowski and Gregor Stiglic},
volume = {11979},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-37446-4},
}