Machine learning-based nomogram for mortality risk stratification in cirrhotic patients with sepsis: a single-center predictive model.
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| Title: | Machine learning-based nomogram for mortality risk stratification in cirrhotic patients with sepsis: a single-center predictive model. |
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| Authors: | Zhang XC; The First Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.; Department of Critical Care Medicine, Fuyang Infectious Disease Clinical College of Anhui Medical University, Fuyang, Anhui, China., Li BW; Department of Critical Care Medicine, Bozhou People's Hospital, Bozhou1, Anhui, China., Lei XQ; Department of Critical Care Medicine, Fuyang Infectious Disease Clinical College of Anhui Medical University, Fuyang, Anhui, China., Shan NB; Department of Critical Care Medicine, Fuyang Infectious Disease Clinical College of Anhui Medical University, Fuyang, Anhui, China., Wei JP; Department of Respiratory Medicine, Linquan County People's Hospital, Fuyang, Anhui, China., Lu ZH; The First Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China., Sun Y; The First Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2025 Oct 21; Vol. 12, pp. 1684527. Date of Electronic Publication: 2025 Oct 21 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-858X |
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| DOI: | 10.3389/fmed.2025.1684527 |
