Work

Data Science for Child Health

Year: 2019

Type: review

Source: The Journal of Pediatrics

DOI: 10.1016/j.jpeds.2018.12.041

Authors: Tellen D. Bennett, Tiffany J. Callahan, James A. Feinstein, Debashis Ghosh, Saquib A. Lakhani, Michael C. Spaeder, Stanley J. Szefler, Michael G. Kahn

Institutions: Colorado School of Public Health, Children's Hospital Colorado, University of Colorado Anschutz, University of Colorado Denver, Yale University, University of Virginia

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, U.S. Food and Drug Administration, Agency for Healthcare Research and Quality, Centers for Medicare and Medicaid Services, Office of the National Coordinator for Health Information Technology, National Institute of Child Health and Human Development, U.S. National Library of Medicine, National Center for Advancing Translational Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: G166213354, G199454009, G488330080, G6601471641, Colorado Clinical and Transational Sciences Institute

OpenAlex ID: W2913150284

FWCI: 1.046

Cites: 169

Cited by: 30

Related to: 10