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Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226472/ https://www.ncbi.nlm.nih.gov/pubmed/35756931 http://dx.doi.org/10.3389/fneur.2022.878091 |
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author | Huber, Markus Luedi, Markus M. Andereggen, Lukas |
author_facet | Huber, Markus Luedi, Markus M. Andereggen, Lukas |
author_sort | Huber, Markus |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9226472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92264722022-06-25 Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study Huber, Markus Luedi, Markus M. Andereggen, Lukas Front Neurol Neurology Frontiers Media S.A. 2022-06-10 /pmc/articles/PMC9226472/ /pubmed/35756931 http://dx.doi.org/10.3389/fneur.2022.878091 Text en Copyright © 2022 Huber, Luedi and Andereggen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Huber, Markus Luedi, Markus M. Andereggen, Lukas Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study |
title | Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study |
title_full | Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study |
title_fullStr | Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study |
title_full_unstemmed | Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study |
title_short | Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study |
title_sort | commentary: automated machine learning model development for intracranial aneurysm treatment outcome prediction: a feasibility study |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226472/ https://www.ncbi.nlm.nih.gov/pubmed/35756931 http://dx.doi.org/10.3389/fneur.2022.878091 |
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