A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-31920-6.pdf
Reference32 articles.
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3. Richardson, D. K., Corcoran, J. D., Escobar, G. J. E. & Lee, S. K. SNAP-II and SNAPPE-II: Simplified newborn illness severity and mortality risk scores. J. Pediatr. 138, 92–100 (2001).
4. Medlock, S., Ravelli, A. C. J., Tamminga, P., Mol, B. W. M. & Abu-Hanna, A. Prediction of Mortality in Very Premature Infants: A Systematic Review of Prediction Models. PLOS ONE 6, 1–9 (2011).
5. Patrick, S., Schumacher, R. E. & Davis, M. Methods of Mortality Risk Adjustment in the NICU: A 20-Year Review. Pediatrics. 131(1), S68–74 (2013).
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