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Can Big Data and Machine Learning Improve Our Understanding of Acute Respiratory Distress Syndrome?
Acute respiratory distress syndrome (ARDS) accounts for 10% of all diagnoses in the Intensive Care Unit, and about 40% of the patients succumb to the disease. Clinical methods alone can result in the under-recognition of this heterogeneous syndrome. The purpose of this study is to evaluate the role...
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| Publicado no: | Cureus |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Cureus
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7996475/ https://ncbi.nlm.nih.gov/pubmed/33786236 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7759/cureus.13529 |
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