Alexandra R D'Agostino, Sarah J Peterson, Gregory T Smith
A risk model for addictive behaviors in adolescents: interactions between personality and learning
Addiction (Abingdon, England)
various hematologic parameters proposed prognostic factors rectal cancer management data conflicting unclear study designed investigate prognostic factor capability preoperative hematologic parameters postoperative morbidities mortality rectal cancer patients undergoing curative resection 200 consecutive rectal cancer patients diagnosed ghaem university hospital 2017 2022 retrospectively evaluated receiver operating characteristic roc curves machine learning ml algorithms random forest recursive feature elimination simulated annealing support vector machine decision tree extreme gradient boosting administered investigate role preoperative hematologic parameters accompanied baseline characteristics three clinical outcomes including surgical infectious complications recurrence death frequency infectious complications correlated surgical procedure tumor recurrence significantly influenced stage n stage terms mortality alongside n stage status resection margin involvement significantly correlated based roc analysis nlr 269 mpv 9 fl pdw 105 fl classified patients mortality status likewise plt 220 109l mpv 9 fl pdw 104 fl plr 136 correlated recurrence however factors examined study significant classifiers outcome surgical infectious complications results ml algorithms also line roc analysis according results roc analysis ml models preoperative hematologic parameters considerable prognostic factors postoperative outcomes rectal cancer patients recommended monitored clinicians prevent unfavorable outcomes