Machine learning to predict risk for community-onset Staphylococcus aureus infections in children living in southeastern United States.
Saved in:
| Title: | Machine learning to predict risk for community-onset Staphylococcus aureus infections in children living in southeastern United States. |
|---|---|
| Authors: | Lin X; Morehouse School of Medicine, Department of Microbiology/Biochemistry/Immunology and Clinical Research Center, Atlanta, Georgia, United States of America., Geng R; Morehouse School of Medicine, Department of Microbiology/Biochemistry/Immunology and Clinical Research Center, Atlanta, Georgia, United States of America., Menke K; Septima, Copenhagen, Denmark., Edelson M; InterDev, Roswell, Georgia, United States of America., Yan F; Morehouse School of Medicine, Department of Community Health and Preventive Medicine, Atlanta, Georgia, United States of America., Leong T; Emory University, Rollins School of Public Health, Department of Biostatistics & Bioinformatics, Atlanta, Georgia, United States of America., Rust GS; College of Medicine, and Center for Medicine and Public Health, Florida State University, Tallahassee, Florida, United States of America., Waller LA; Emory University, Rollins School of Public Health, Department of Biostatistics & Bioinformatics, Atlanta, Georgia, United States of America., Johnson EL; Morehouse School of Medicine, Department of Microbiology/Biochemistry/Immunology and Clinical Research Center, Atlanta, Georgia, United States of America., Cheng Immergluck L; Morehouse School of Medicine, Department of Microbiology/Biochemistry/Immunology and Clinical Research Center, Atlanta, Georgia, United States of America. |
| Source: | PloS one [PLoS One] 2023 Sep 01; Vol. 18 (9), pp. e0290375. Date of Electronic Publication: 2023 Sep 01 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, P.H.S.; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0290375 |
