Bibliographic Details
| Title: |
Machine Learning for Automatic Detection of Velopharyngeal Dysfunction: Proof of Concept |
| Authors: |
Nicholas O’Sick, DO, Claiborne Lucas, MD, Ricardo Torres-Guzman, MD, Andrew J. James, Scott Corlew, MPH, MD, Amy Stone, MS, CCC-SLP, Maria E. Powell, PhD, CCC-SLP, Michael Golinko, MA, MD, Matthew E. Pontell, MD |
| Source: |
Plastic and Reconstructive Surgery, Global Open, Vol 12, Iss S6, Pp 6-7 (2024) |
| Publisher Information: |
Wolters Kluwer, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Surgery |
| Subject Terms: |
Surgery, RD1-811 |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2169-7574 |
| Relation: |
http://journals.lww.com/prsgo/fulltext/10.1097/01.GOX.0001024432.49195.f3; https://doaj.org/toc/2169-7574 |
| DOI: |
10.1097/01.GOX.0001024432.49195.f3 |
| Access URL: |
https://doaj.org/article/1abfbac3483f4cb6b954c2be84cb31e8 |
| Accession Number: |
edsdoj.1abfbac3483f4cb6b954c2be84cb31e8 |
| Database: |
Directory of Open Access Journals |
