Work

Using machine learning analysis to assist in differentiating between necrotizing enterocolitis and spontaneous intestinal perforation: A novel predictive analytic tool

Year: 2020

Type: article

Study design: Observational Study

Source: Journal of Pediatric Surgery

DOI: 10.1016/j.jpedsurg.2020.11.008

Authors: Allison C. Lure, Xinsong Du, Erik W. Black, Raechel Irons, Dominick J. Lemas, Janice A. Taylor, Orlyn Lavilla, Diomel de la Cruz, Josef Neu

Institutions: University of Florida Health, University of Florida

Language: English

Topic: Infant Nutrition and Health

Subfield: Nutrition and Dietetics

Field: Nursing

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, National Center for Advancing Translational Sciences

Awards: Together: Transforming and Translating Discovery to Improve Health, G3345260134, Human milk metabolomics and microbe-host interactions associated with pediatric obesity

OpenAlex ID: W3099483794

FWCI: 3.475

Cites: 40

Cited by: 52

Related to: 10