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Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings.

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Title: Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings.
Authors: Yap XV; Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan., Tu KC; Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan., Chen NC; Department of Nursing, Chi Mei Medical Center, Tainan, 710402, Taiwan., Wang CC; Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan., Chen CJ; Department of Information Systems, Chi Mei Medical Center, Tainan, 710402, Taiwan., Liu CF; Department of Medical Research, Chi Mei Medical Center, Tainan, 710402, Taiwan., Eric Nya TT; Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan. ronaldowen@gmail.com.; Center of General Education, Chia Nan University of Pharmacy and Science, Tainan, 717301, Taiwan. ronaldowen@gmail.com., Kuo CL; Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan. kuojinnrung@gmail.com.; Department of Medical Research, Chi Mei Medical Center, Tainan, 710402, Taiwan. kuojinnrung@gmail.com.; School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan. kuojinnrung@gmail.com.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Mar 28; Vol. 25 (1), pp. 149. Date of Electronic Publication: 2025 Mar 28.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1472-6947
DOI:10.1186/s12911-025-02984-y