Early prognosis prediction in mechanically ventilated patients using machine learning for tertiary care hospital settings.
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| Title: | Early prognosis prediction in mechanically ventilated patients using machine learning for tertiary care hospital settings. |
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| Authors: | Mendiratta S; Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi, India., Mukkelli VG; Department of Anesthesiology, Intensive Care and Pain Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India., Baidya Kayal E; Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi, India., Khanna P; Department of Anesthesiology, Intensive Care and Pain Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India., Mehndiratta A; Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi, India. amit.mehndiratta@keble.oxon.org.; Faculty of Medicine and Health, University of New South Wales (UNSW), Sydney, Australia. amit.mehndiratta@keble.oxon.org. |
| Source: | Journal of clinical monitoring and computing [J Clin Monit Comput] 2026 Feb; Vol. 40 (1), pp. 129-137. Date of Electronic Publication: 2025 Nov 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Netherlands NLM ID: 9806357 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2614 (Electronic) Linking ISSN: 13871307 NLM ISO Abbreviation: J Clin Monit Comput Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1573-2614 |
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| DOI: | 10.1007/s10877-025-01387-8 |
