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Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552096/ https://www.ncbi.nlm.nih.gov/pubmed/36237847 http://dx.doi.org/10.1016/j.jdin.2022.08.021 |
| _version_ | 1784806179556294656 |
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| author | Jueng, Jeremy Bhupalam, Vishnu Su, Ashley Dupuis, Leonie Infante, Caridad Shaikh, Shazmeen Dellavalle, Robert Brooks, Ian Burton, Vernon Solomon, James |
| author_facet | Jueng, Jeremy Bhupalam, Vishnu Su, Ashley Dupuis, Leonie Infante, Caridad Shaikh, Shazmeen Dellavalle, Robert Brooks, Ian Burton, Vernon Solomon, James |
| author_sort | Jueng, Jeremy |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9552096 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Elsevier |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-95520962022-10-12 Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata Jueng, Jeremy Bhupalam, Vishnu Su, Ashley Dupuis, Leonie Infante, Caridad Shaikh, Shazmeen Dellavalle, Robert Brooks, Ian Burton, Vernon Solomon, James JAAD Int Research Letter Elsevier 2022-09-06 /pmc/articles/PMC9552096/ /pubmed/36237847 http://dx.doi.org/10.1016/j.jdin.2022.08.021 Text en © 2022 by the American Academy of Dermatology, Inc. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| spellingShingle | Research Letter Jueng, Jeremy Bhupalam, Vishnu Su, Ashley Dupuis, Leonie Infante, Caridad Shaikh, Shazmeen Dellavalle, Robert Brooks, Ian Burton, Vernon Solomon, James Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata |
| title | Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata |
| title_full | Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata |
| title_fullStr | Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata |
| title_full_unstemmed | Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata |
| title_short | Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata |
| title_sort | using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata |
| topic | Research Letter |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552096/ https://www.ncbi.nlm.nih.gov/pubmed/36237847 http://dx.doi.org/10.1016/j.jdin.2022.08.021 |
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