Comparison of train and validation cohorts. Values from row 9 to row 20 are presented as mean (standard deviation). Some patients’ race information is unknown.

Comparison of train and validation cohorts. Values from row 9 to row 20 are presented as mean (standard deviation). Some patients’ race information is unknown.

<p>Comparison of train and validation cohorts. Values from row 9 to row 20 are presented as mean (standard deviation). Some patients’ race information is unknown.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Armin Abdollahi (21440129) (author)
مؤلفون آخرون: Negin Ashrafi (651043) (author), Xinghong Ma (199646) (author), Jiahao Zhang (4859203) (author), Daijia Wu (21440132) (author), Tongshou Wu (21440135) (author), Zizheng Ye (21440138) (author), Maryam Pishgar (16527234) (author)
منشور في: 2025
الموضوعات:
Medicine
Genetics
Biotechnology
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
selected 30 features
results </ b
optimizing treatment strategies
methods </ b
intensive care unit
death among adults
conclusion </ b
background </ b
applied synthetic minority
advanced predictive modeling
70 %, n
15 %, n
reducing feature number
enhanced mortality prediction
assess mortality risk
2441 ), test
proposed model demonstrates
address data imbalances
chose deep learning
enhanced feature selection
auroc improvement compared
deep learning model
ischemic stroke patients
deep learning
feature selection
predicting mortality
stroke patients
ischemic strokes
model ’
model development
dl model
data cleaning
acquired data
vital signs
stroke annually
smote ).
sampling technique
randomly divided
previous studies
leading cause
laboratory tests
iv database
including diagnoses
first day
existing models
combining xgboost
clinical notes
best study
auroc improved
allocating resources
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