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The XGBoost-based approach demonstrated robust external validation across multiple centers, supporting clinical adoption to guide personalized treatment decisions.
A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.
Benefits of Combining Circulating Tumor DNA With Tissue and Longitudinal Circulating Tumor DNA Genotyping in Advanced Solid Tumors: SCRUM-Japan MONSTAR-SCREEN-1 Study Osteosarcoma (OS) is the most ...
For the study, "Comparing Machine Learning and Nurse Predictions for Hospital Admissions in a Multisite Emergency Care System," the researchers used the Bio-Clinical BERT LLM and the XGBoost algorithm ...
To estimate the m-CTSIB scores, researchers applied Multiple Linear Regression, Support Vector Regression and XGBOOST algorithms.
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