Eintrag weiter verarbeiten
Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records
Gespeichert in:
| Zeitschriftentitel: | Cardiovascular Digital Health Journal |
|---|---|
| Personen und Körperschaften: | , , , , |
| In: | Cardiovascular Digital Health Journal, 2, 2021, 3, S. 156-163 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Elsevier BV
|
| Schlagwörter: |
| author_facet |
Solomon, Matthew D. Tabada, Grace Allen, Amanda Sung, Sue Hee Go, Alan S. Solomon, Matthew D. Tabada, Grace Allen, Amanda Sung, Sue Hee Go, Alan S. |
|---|---|
| author |
Solomon, Matthew D. Tabada, Grace Allen, Amanda Sung, Sue Hee Go, Alan S. |
| spellingShingle |
Solomon, Matthew D. Tabada, Grace Allen, Amanda Sung, Sue Hee Go, Alan S. Cardiovascular Digital Health Journal Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records General Medicine |
| author_sort |
solomon, matthew d. |
| spelling |
Solomon, Matthew D. Tabada, Grace Allen, Amanda Sung, Sue Hee Go, Alan S. 2666-6936 Elsevier BV General Medicine http://dx.doi.org/10.1016/j.cvdhj.2021.03.003 Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records Cardiovascular Digital Health Journal |
| doi_str_mv |
10.1016/j.cvdhj.2021.03.003 |
| facet_avail |
Online Free |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAxNi9qLmN2ZGhqLjIwMjEuMDMuMDAz |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAxNi9qLmN2ZGhqLjIwMjEuMDMuMDAz |
| institution |
DE-D275 DE-Bn3 DE-Brt1 DE-Zwi2 DE-D161 DE-Gla1 DE-Zi4 DE-15 DE-Rs1 DE-Pl11 DE-105 DE-14 DE-Ch1 DE-L229 |
| imprint |
Elsevier BV, 2021 |
| imprint_str_mv |
Elsevier BV, 2021 |
| issn |
2666-6936 |
| issn_str_mv |
2666-6936 |
| language |
English |
| mega_collection |
Elsevier BV (CrossRef) |
| match_str |
solomon2021largescaleidentificationofaorticstenosisanditsseverityusingnaturallanguageprocessingonelectronichealthrecords |
| publishDateSort |
2021 |
| publisher |
Elsevier BV |
| recordtype |
ai |
| record_format |
ai |
| series |
Cardiovascular Digital Health Journal |
| source_id |
49 |
| title |
Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| title_unstemmed |
Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| title_full |
Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| title_fullStr |
Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| title_full_unstemmed |
Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| title_short |
Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| title_sort |
large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| topic |
General Medicine |
| url |
http://dx.doi.org/10.1016/j.cvdhj.2021.03.003 |
| publishDate |
2021 |
| physical |
156-163 |
| description |
|
| container_issue |
3 |
| container_start_page |
156 |
| container_title |
Cardiovascular Digital Health Journal |
| container_volume |
2 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792341347505537028 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T16:18:28.92Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Large-scale+identification+of+aortic+stenosis+and+its+severity+using+natural+language+processing+on+electronic+health+records&rft.date=2021-06-01&genre=article&issn=2666-6936&volume=2&issue=3&spage=156&epage=163&pages=156-163&jtitle=Cardiovascular+Digital+Health+Journal&atitle=Large-scale+identification+of+aortic+stenosis+and+its+severity+using+natural+language+processing+on+electronic+health+records&aulast=Go&aufirst=Alan+S.&rft_id=info%3Adoi%2F10.1016%2Fj.cvdhj.2021.03.003&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792341347505537028 |
| author | Solomon, Matthew D., Tabada, Grace, Allen, Amanda, Sung, Sue Hee, Go, Alan S. |
| author_facet | Solomon, Matthew D., Tabada, Grace, Allen, Amanda, Sung, Sue Hee, Go, Alan S., Solomon, Matthew D., Tabada, Grace, Allen, Amanda, Sung, Sue Hee, Go, Alan S. |
| author_sort | solomon, matthew d. |
| container_issue | 3 |
| container_start_page | 156 |
| container_title | Cardiovascular Digital Health Journal |
| container_volume | 2 |
| description | |
| doi_str_mv | 10.1016/j.cvdhj.2021.03.003 |
| facet_avail | Online, Free |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAxNi9qLmN2ZGhqLjIwMjEuMDMuMDAz |
| imprint | Elsevier BV, 2021 |
| imprint_str_mv | Elsevier BV, 2021 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Rs1, DE-Pl11, DE-105, DE-14, DE-Ch1, DE-L229 |
| issn | 2666-6936 |
| issn_str_mv | 2666-6936 |
| language | English |
| last_indexed | 2024-03-01T16:18:28.92Z |
| match_str | solomon2021largescaleidentificationofaorticstenosisanditsseverityusingnaturallanguageprocessingonelectronichealthrecords |
| mega_collection | Elsevier BV (CrossRef) |
| physical | 156-163 |
| publishDate | 2021 |
| publishDateSort | 2021 |
| publisher | Elsevier BV |
| record_format | ai |
| recordtype | ai |
| series | Cardiovascular Digital Health Journal |
| source_id | 49 |
| spelling | Solomon, Matthew D. Tabada, Grace Allen, Amanda Sung, Sue Hee Go, Alan S. 2666-6936 Elsevier BV General Medicine http://dx.doi.org/10.1016/j.cvdhj.2021.03.003 Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records Cardiovascular Digital Health Journal |
| spellingShingle | Solomon, Matthew D., Tabada, Grace, Allen, Amanda, Sung, Sue Hee, Go, Alan S., Cardiovascular Digital Health Journal, Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records, General Medicine |
| title | Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| title_full | Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| title_fullStr | Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| title_full_unstemmed | Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| title_short | Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| title_sort | large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| title_unstemmed | Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records |
| topic | General Medicine |
| url | http://dx.doi.org/10.1016/j.cvdhj.2021.03.003 |