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Leveraging machine learning to study how temperament scores predict pre-term birth status |
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Titel: |
Leveraging machine learning to study how temperament scores predict pre-term birth status |
Auteur: |
Seamon, Erich Mattera, Jennifer.A. Keim, Sarah.A. Leerkes, Esther.M. Rennels, Jennifer.L. Kayl, Andrea.J. Kulhanek, Kirsty.M. Narvaez, Darcia Sanborn, Sarah.M. Grandits, Jennifer.B. Schetter, Christine Dunkel Coussons-Read, Mary Tarullo, Amanda.R. Schoppe-Sullivan, Sarah.J. Thomason, Moriah.E. Braungart-Rieker, Julie.M. Lumeng, Julie.C. Lenze, Shannon.N. Christian, Lisa M. Saxbe, Darby.E. Stroud, Laura.R. Rodriguez, Christina.M. Anzman-Frasca, Stephanie Gartstein, Maria.A. |
Verschenen in: |
Global pediatrics |
Paginering: |
Jaargang 9 () nr. C pagina's p. |
Jaar: |
2024 |
Inhoud: |
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Uitgever: |
Published by Elsevier B.V. |
Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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