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Details for article 26 of 52 found articles
| Title: |
Leveraging machine learning to study how temperament scores predict pre-term birth status |
| Author: |
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. |
| Appeared in: |
Global pediatrics |
| Paging: | Volume 9 () nr. C pages p. |
| Year: |
2024 |
| Contents: | |
| Publisher: |
Published by Elsevier B.V. |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 26 of 52 found articles
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