Correction: Anastopoulos et al. Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events. Int. J. Environ. Res. Public Health 2021, 18, 2600

Detalles Bibliográficos
Autores principales: Anastopoulos, Ioannis N., Herczeg, Chloe K., Davis, Kasey N., Dixit, Atray C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Correction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8998796/
https://www.ncbi.nlm.nih.gov/pubmed/35410103
http://dx.doi.org/10.3390/ijerph19074216
_version_ 1784685028555358208
author Anastopoulos, Ioannis N.
Herczeg, Chloe K.
Davis, Kasey N.
Dixit, Atray C.
author_facet Anastopoulos, Ioannis N.
Herczeg, Chloe K.
Davis, Kasey N.
Dixit, Atray C.
author_sort Anastopoulos, Ioannis N.
collection PubMed
description
format Online
Article
Text
id pubmed-8998796
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-89987962022-04-12 Correction: Anastopoulos et al. Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events. Int. J. Environ. Res. Public Health 2021, 18, 2600 Anastopoulos, Ioannis N. Herczeg, Chloe K. Davis, Kasey N. Dixit, Atray C. Int J Environ Res Public Health Correction MDPI 2022-04-01 /pmc/articles/PMC8998796/ /pubmed/35410103 http://dx.doi.org/10.3390/ijerph19074216 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Correction
Anastopoulos, Ioannis N.
Herczeg, Chloe K.
Davis, Kasey N.
Dixit, Atray C.
Correction: Anastopoulos et al. Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events. Int. J. Environ. Res. Public Health 2021, 18, 2600
title Correction: Anastopoulos et al. Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events. Int. J. Environ. Res. Public Health 2021, 18, 2600
title_full Correction: Anastopoulos et al. Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events. Int. J. Environ. Res. Public Health 2021, 18, 2600
title_fullStr Correction: Anastopoulos et al. Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events. Int. J. Environ. Res. Public Health 2021, 18, 2600
title_full_unstemmed Correction: Anastopoulos et al. Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events. Int. J. Environ. Res. Public Health 2021, 18, 2600
title_short Correction: Anastopoulos et al. Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events. Int. J. Environ. Res. Public Health 2021, 18, 2600
title_sort correction: anastopoulos et al. multi-drug featurization and deep learning improve patient-specific predictions of adverse events. int. j. environ. res. public health 2021, 18, 2600
topic Correction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8998796/
https://www.ncbi.nlm.nih.gov/pubmed/35410103
http://dx.doi.org/10.3390/ijerph19074216
work_keys_str_mv AT anastopoulosioannisn correctionanastopoulosetalmultidrugfeaturizationanddeeplearningimprovepatientspecificpredictionsofadverseeventsintjenvironrespublichealth2021182600
AT herczegchloek correctionanastopoulosetalmultidrugfeaturizationanddeeplearningimprovepatientspecificpredictionsofadverseeventsintjenvironrespublichealth2021182600
AT daviskaseyn correctionanastopoulosetalmultidrugfeaturizationanddeeplearningimprovepatientspecificpredictionsofadverseeventsintjenvironrespublichealth2021182600
AT dixitatrayc correctionanastopoulosetalmultidrugfeaturizationanddeeplearningimprovepatientspecificpredictionsofadverseeventsintjenvironrespublichealth2021182600

Ejemplares similares