Alongkorn Sukrueangkul, Petcherut Sirisuwan, Kanlayawee Anonjarn, Punrada Poungsamai, Suchitra Hudrudchai, Napapat Thongkamwong, Poramate Insook, Patitta Suangpho
Health Literacy and Demand for Medical Cannabis use among Colorectal Cancer Patients in Northern Thailand: A Cross-Sectional Study
Asian Pacific journal of cancer prevention : APJCP
antibioticassociated diarrhea aad prolong hospitalization increase medical costs even lead higher mortality rates therefore essential predict incidence aad elderly intensive care uniticu patients objective study create prediction model interpretable generalizable predicting incidence aad elderly icu patients retrospectively analyzed data first medical center peoples liberation army general hospital plagh china utilized machine learning model extreme gradient boosting xgboost shapleys additive interpretation method predict incidence aad elderly icu patients interpretable manner total 848 adult icu patients eligible study xgboost model predicted incidence aad area receiver operating characteristic curve roc 0917 sensitivity 0889 specificity 0806 accuracy 0870 f1 score 0780 xgboost model outperformed models including logistic regression support vector machine auc 0809 knearest neighbor algorithm auc 0872 plain bayes auc 0774 xgboost model may excel absolute performance demonstrates superior predictive capabilities compared models forecasting incidence aad elderly icu patients categorized based characteristics