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Improving Sepsis Mortality Prediction With Machine Learning Using Full Region Synthetic Sampling Approach.

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第一作者： Ibrahim A,Amory

第一单位： Computer Engineering Department Urmia University Urmia Iran.

作者： Ibrahim A,Amory ^[1] ; Parviz Rashidi,Khazaee ^[2] ; Saleh,Yousefi ^[2]

作者单位： Computer Engineering Department Urmia University Urmia Iran. ^[1] Information Technology and Computer Engineering Department Urmia University of Technology Urmia Iran. ^[2]

关键词 Adaptive Synthetic Sampling Tuning (ASST)Balanced Performance Score (BPS)Full Region Synthetic Sampling Approach (FRSSA)MIMIC‐IV data augmentation machine learning in ICU sepsis mortality

DOI 10.1002/hsr2.71556

PMID 41292579

发布时间 2025-11-28

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