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