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Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312342/ https://www.ncbi.nlm.nih.gov/pubmed/34322667 http://dx.doi.org/10.3389/fdata.2021.727856 |
| _version_ | 1783729128122351616 |
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| author | Benrimoh, David Israel, Sonia Fratila, Robert Armstrong, Caitrin Perlman, Kelly Rosenfeld, Ariel Kapelner, Adam |
| author_facet | Benrimoh, David Israel, Sonia Fratila, Robert Armstrong, Caitrin Perlman, Kelly Rosenfeld, Ariel Kapelner, Adam |
| author_sort | Benrimoh, David |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8312342 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-83123422021-07-27 Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare Benrimoh, David Israel, Sonia Fratila, Robert Armstrong, Caitrin Perlman, Kelly Rosenfeld, Ariel Kapelner, Adam Front Big Data Big Data Frontiers Media S.A. 2021-07-12 /pmc/articles/PMC8312342/ /pubmed/34322667 http://dx.doi.org/10.3389/fdata.2021.727856 Text en Copyright © 2021 Benrimoh, Israel, Fratila, Armstrong, Perlman, Rosenfeld and Kapelner. 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 | Big Data Benrimoh, David Israel, Sonia Fratila, Robert Armstrong, Caitrin Perlman, Kelly Rosenfeld, Ariel Kapelner, Adam Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare |
| title | Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare |
| title_full | Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare |
| title_fullStr | Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare |
| title_full_unstemmed | Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare |
| title_short | Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare |
| title_sort | editorial: ml and ai safety, effectiveness and explainability in healthcare |
| topic | Big Data |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312342/ https://www.ncbi.nlm.nih.gov/pubmed/34322667 http://dx.doi.org/10.3389/fdata.2021.727856 |
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