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©The Author(s) 2022.
World J Crit Care Med. Sep 9, 2022; 11(5): 311-316
Published online Sep 9, 2022. doi: 10.5492/wjccm.v11.i5.311
Published online Sep 9, 2022. doi: 10.5492/wjccm.v11.i5.311
Figure 2 Resource allocation in the intensive care units.
The applications of machine learning can target patients in need of intensive care units (ICUs) and predict the use of ICU resources. Machine learning can predict ICU transfer in hospitalized patients and predict the use of ICU resources, such as mechanical ventilation. It gives the chance to make the most use of resources, especially in ICUs where demand and supply frequently mismatch. Prediction in interventions, such as mechanical ventilation, would mean that the management groups can foresee changes and mobilize resource, such as equipment and staff, to cope with such demands in advance which is a positive factor for patient outcomes. AI: Artificial intelligence.
- Citation: Luo MH, Huang DL, Luo JC, Su Y, Li JK, Tu GW, Luo Z. Data science in the intensive care unit. World J Crit Care Med 2022; 11(5): 311-316
- URL: https://www.wjgnet.com/2220-3141/full/v11/i5/311.htm
- DOI: https://dx.doi.org/10.5492/wjccm.v11.i5.311