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PC7. DEVELOPMENT AND ASSESSMENT OF ARTIFICIAL INTELLIGENCE-DRIVEN MODELS TO PREDICT HERNIA RECURRENCE, SURGICAL COMPLICATIONS, AND 30-DAY READMISSION FOLLOWING ABDOMINAL WALL RECONSTRUCTION
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984311/ http://dx.doi.org/10.1097/01.GOX.0000828280.57538.b5 |
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author | Hassan, Abbas M. Lu, Sheng-Chieh Asaad, Malke Offodile, Anaeze C. Sidey-Gibbons, Christopher Butler, Charles E. |
author_facet | Hassan, Abbas M. Lu, Sheng-Chieh Asaad, Malke Offodile, Anaeze C. Sidey-Gibbons, Christopher Butler, Charles E. |
author_sort | Hassan, Abbas M. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8984311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-89843112022-04-06 PC7. DEVELOPMENT AND ASSESSMENT OF ARTIFICIAL INTELLIGENCE-DRIVEN MODELS TO PREDICT HERNIA RECURRENCE, SURGICAL COMPLICATIONS, AND 30-DAY READMISSION FOLLOWING ABDOMINAL WALL RECONSTRUCTION Hassan, Abbas M. Lu, Sheng-Chieh Asaad, Malke Offodile, Anaeze C. Sidey-Gibbons, Christopher Butler, Charles E. Plast Reconstr Surg Glob Open EPoster Resident Competition Lippincott Williams & Wilkins 2022-04-01 /pmc/articles/PMC8984311/ http://dx.doi.org/10.1097/01.GOX.0000828280.57538.b5 Text en Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | EPoster Resident Competition Hassan, Abbas M. Lu, Sheng-Chieh Asaad, Malke Offodile, Anaeze C. Sidey-Gibbons, Christopher Butler, Charles E. PC7. DEVELOPMENT AND ASSESSMENT OF ARTIFICIAL INTELLIGENCE-DRIVEN MODELS TO PREDICT HERNIA RECURRENCE, SURGICAL COMPLICATIONS, AND 30-DAY READMISSION FOLLOWING ABDOMINAL WALL RECONSTRUCTION |
title | PC7. DEVELOPMENT AND ASSESSMENT OF ARTIFICIAL INTELLIGENCE-DRIVEN MODELS TO PREDICT HERNIA RECURRENCE, SURGICAL COMPLICATIONS, AND 30-DAY READMISSION FOLLOWING ABDOMINAL WALL RECONSTRUCTION |
title_full | PC7. DEVELOPMENT AND ASSESSMENT OF ARTIFICIAL INTELLIGENCE-DRIVEN MODELS TO PREDICT HERNIA RECURRENCE, SURGICAL COMPLICATIONS, AND 30-DAY READMISSION FOLLOWING ABDOMINAL WALL RECONSTRUCTION |
title_fullStr | PC7. DEVELOPMENT AND ASSESSMENT OF ARTIFICIAL INTELLIGENCE-DRIVEN MODELS TO PREDICT HERNIA RECURRENCE, SURGICAL COMPLICATIONS, AND 30-DAY READMISSION FOLLOWING ABDOMINAL WALL RECONSTRUCTION |
title_full_unstemmed | PC7. DEVELOPMENT AND ASSESSMENT OF ARTIFICIAL INTELLIGENCE-DRIVEN MODELS TO PREDICT HERNIA RECURRENCE, SURGICAL COMPLICATIONS, AND 30-DAY READMISSION FOLLOWING ABDOMINAL WALL RECONSTRUCTION |
title_short | PC7. DEVELOPMENT AND ASSESSMENT OF ARTIFICIAL INTELLIGENCE-DRIVEN MODELS TO PREDICT HERNIA RECURRENCE, SURGICAL COMPLICATIONS, AND 30-DAY READMISSION FOLLOWING ABDOMINAL WALL RECONSTRUCTION |
title_sort | pc7. development and assessment of artificial intelligence-driven models to predict hernia recurrence, surgical complications, and 30-day readmission following abdominal wall reconstruction |
topic | EPoster Resident Competition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984311/ http://dx.doi.org/10.1097/01.GOX.0000828280.57538.b5 |
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