Predicting Post-cardiac Surgery Vasoplegia: Is Machine Learning Better Than Conventional Wisdom?
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| Title: | Predicting Post-cardiac Surgery Vasoplegia: Is Machine Learning Better Than Conventional Wisdom? |
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| Authors: | Tanaka KD; University of Oklahoma Norman Campus, Norman, OK., Miller AL; College of Medicine, University of Oklahoma, Oklahoma City, OK., Butt AL; Department of Anesthesiology, University of Oklahoma, Oklahoma City, OK., Stewart KE; Department of Anesthesiology, University of Oklahoma, Oklahoma City, OK; Department of Surgery, University of Oklahoma Health Campus-COM, Oklahoma City, OK. Electronic address: Kenneth-Stewart@ou.edu. |
| Source: | Journal of cardiothoracic and vascular anesthesia [J Cardiothorac Vasc Anesth] 2026 Apr; Vol. 40 (4), pp. 1326-1327. Date of Electronic Publication: 2026 Jan 25. |
| Publication Type: | Letter |
| Journal Info: | Publisher: W.B. Saunders Country of Publication: United States NLM ID: 9110208 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-8422 (Electronic) Linking ISSN: 10530770 NLM ISO Abbreviation: J Cardiothorac Vasc Anesth Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
| ISSN: | 1532-8422 |
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| DOI: | 10.1053/j.jvca.2026.01.029 |
