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Identification of potential biological targets in sepsis based on random forest and artificial neural network models
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| Published in: | Journal of Infection in Developing Countries |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867301676658982915 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Infection in Developing Countries |
| description | |
| discipline_display | Communicable Diseases, Epidemiology |
| discipline_facet | Communicable Diseases, Epidemiology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:79425 |
| institution | FRELIP |
| journal_source_facet | Journal of Infection in Developing Countries |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Identification of potential biological targets in sepsis based on random forest and artificial neural network models Communicable Diseases, Epidemiology General Communicable Diseases, Epidemiology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Communicable Diseases, Epidemiology General Communicable Diseases, Epidemiology Communicable Diseases, Epidemiology General Communicable Diseases, Epidemiology |
| subject_facet | Communicable Diseases, Epidemiology General Communicable Diseases, Epidemiology |
| title | Identification of potential biological targets in sepsis based on random forest and artificial neural network models |
| title_auth | Identification of potential biological targets in sepsis based on random forest and artificial neural network models |
| title_full | Identification of potential biological targets in sepsis based on random forest and artificial neural network models |
| title_fullStr | Identification of potential biological targets in sepsis based on random forest and artificial neural network models |
| title_full_unstemmed | Identification of potential biological targets in sepsis based on random forest and artificial neural network models |
| title_short | Identification of potential biological targets in sepsis based on random forest and artificial neural network models |
| title_sort | identification of potential biological targets in sepsis based on random forest and artificial neural network models |
| topic | Communicable Diseases, Epidemiology General Communicable Diseases, Epidemiology |
| url | https://www.jidc.org/index.php/journal/article/view/42112730 |