Identification of key genes and development of an identifying machine learning model for sepsis.
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| Title: | Identification of key genes and development of an identifying machine learning model for sepsis. |
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| Authors: | Li Z; Department of Neurosurgery, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.; Emergency Department, China-Japan Friendship Hospital, Beijing, China., Chen S; Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China.; Department of Pulmonary and Critical Care Medicine, National Regional Center for Respiratory Medicine, Jiangxi Hospital of China-Japan Friendship Hospital, Nanchang, China., Gao N; Emergency Department, China-Japan Friendship Hospital, Beijing, China.; Graduate School, Peking Union Medical College, Beijing, China., Chen J; Emergency Department, China-Japan Friendship Hospital, Beijing, China.; Graduate School, Peking Union Medical College, Beijing, China., Qin Y; Emergency Department, China-Japan Friendship Hospital, Beijing, China., Zhang G; Emergency Department, China-Japan Friendship Hospital, Beijing, China. zhangchong2003@vip.sina.com. |
| Source: | Inflammation research : official journal of the European Histamine Research Society ... [et al.] [Inflamm Res] 2025 Jun 30; Vol. 74 (1), pp. 100. Date of Electronic Publication: 2025 Jun 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Birkhäuser Country of Publication: Switzerland NLM ID: 9508160 Publication Model: Electronic Cited Medium: Internet ISSN: 1420-908X (Electronic) Linking ISSN: 10233830 NLM ISO Abbreviation: Inflamm Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1420-908X |
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| DOI: | 10.1007/s00011-025-02068-7 |
