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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Detalles Bibliográficos
Autores principales: Bhattarai, Sanket, Gupta, Ashish, Ali, Eiman, Ali, Moeez, Riad, Mohamed, Adhikari, Prakash, Mostafa, Jihan A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2021
Materias:
Internal Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996475/
https://www.ncbi.nlm.nih.gov/pubmed/33786236
http://dx.doi.org/10.7759/cureus.13529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996475/
https://www.ncbi.nlm.nih.gov/pubmed/33786236
http://dx.doi.org/10.7759/cureus.13529

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