Big Data Analysis and Machine Learning in Intensive Care Units.

Medicina intensiva · Oct 2019

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Big Data Analysis and Machine Learning in Intensive Care Units.

Intensive care is an ideal environment for the use of Big Data Analysis (BDA) and Machine Learning (ML), due to the huge amount of information processed and stored in electronic format in relation to such care. These tools can improve our clinical research capabilities and clinical decision making in the future. The present study reviews the foundations of BDA and ML, and explores possible applications in our field from a clinical viewpoint. We also suggest potential strategies to optimize these new technologies and describe a new kind of hybrid healthcare-data science professional with a linking role between clinicians and data.

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- A Núñez Reiz, M A Armengol de la Hoz, and M Sánchez García.
- Servicio de Medicina Intensiva, Hospital Universitario Clínico San Carlos, Madrid, España. Electronic address: anunezreiz@gmail.com.
- Med Intensiva. 2019 Oct 1; 43 (7): 416-426.
AbstractIntensive care is an ideal environment for the use of Big Data Analysis (BDA) and Machine Learning (ML), due to the huge amount of information processed and stored in electronic format in relation to such care. These tools can improve our clinical research capabilities and clinical decision making in the future. The present study reviews the foundations of BDA and ML, and explores possible applications in our field from a clinical viewpoint. We also suggest potential strategies to optimize these new technologies and describe a new kind of hybrid healthcare-data science professional with a linking role between clinicians and data.Copyright © 2018 Elsevier España, S.L.U. y SEMICYUC. All rights reserved.

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Big Data Analysis and Machine Learning in Intensive Care Units.

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