XGBoost score
1 paper2 findings
- Humans1
Associations
2Impaired myocardial relaxation
upin silico1
1 study
Impaired myocardial relaxation
upin silico1
XGBoost score predicts impaired myocardial relaxation in silico (test-set ROC-AUC 0.7658).
In silicopredicting impaired myocardial relaxation phenotypen = 984
A machine learning approach to conglomerate multi-domain features of cardiac aging
European heart journal. Digital health17 Aug 2026
Death-or-admission events
upin humans1HR 1.115
1 study
Death-or-admission events
upin humans1HR 1.115
XGBoost score raises the risk of death-or-admission events in humans (HR 1.115, P = 0.029).
Humansdeath-or-admission eventsn = 984
A machine learning approach to conglomerate multi-domain features of cardiac aging
European heart journal. Digital health17 Aug 2026
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