Machine learning in data abstraction: A computable phenotype for sepsis and septic shock diagnosis in the intensive care unit

doi:10.5492/wjccm.v8.i7.120

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World Journal of Critical Care Medicine

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2220-3141

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Crit Care Med. Nov 19, 2019; 8(7): 120-126
Published online Nov 19, 2019. doi: 10.5492/wjccm.v8.i7.120

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Figure 1 Flow chart of study derivation and validation cohorts. MICU: Medical intensive care unit.

Citation: Dhungana P, Serafim LP, Ruiz AL, Bruns D, Weister TJ, Smischney NJ, Kashyap R. Machine learning in data abstraction: A computable phenotype for sepsis and septic shock diagnosis in the intensive care unit. World J Crit Care Med 2019; 8(7): 120-126
URL: https://www.wjgnet.com/2220-3141/full/v8/i7/120.htm
DOI: https://dx.doi.org/10.5492/wjccm.v8.i7.120