2016 IEEE International Multidisciplinary Conference on Engineering Technology (IMCET) 2016
DOI: 10.1109/imcet.2016.7777425
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Predicting ARDS using the MIMIC II physiological database

Aline Taoum
1
,
Farah Mourad-Chehade
2
,
Hassan Amoud
3
et al.
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Cited by 2 publications
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Modelling ICU Patients to Improve Care Requirements and Outcome Prediction of Acute Respiratory Distress Syndrome: A Supervised Learning Approach

Sayed
1
,
Riaño
2
2019
Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems
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Modelling ICU Patients to Improve Care Requirements and Outcome Prediction of Acute Respiratory Distress Syndrome: A Supervised Learning Approach

Sayed
1
,
Riaño
2
2019
Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems
1
0
5
0
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Machine Learning and Deep Learning Approaches to Quantify Respiratory Distress Severity and Predict Critical Alarms

Pardasani
1
,
Chaudhuri
2
,
Awasthi
3
et al. 2020
2020 IEEE International Conference on Healthcare Informatics (ICHI)
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