Objective: This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies.
Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...
Purpose: Accurate differentiation between glioma recurrence and radiation necrosis is critical for the management of patients suspected of glioma recurrence following radiation therapy. This study ...
#define _(blk) std::cerr << #blk << " "; start_ = clock(); blk \ std::cerr << (clock()-start_)*1.0/CLOCKS_PER_SEC << "s" << std::endl; "simple_maximal_planar_random ...
Objectives: The absence of predictive markers for kidney stone recurrence poses a challenge for the clinical management of stone disease. The unpredictability of stone events is also a significant ...
The algorithm can accurately diagnose cases of lung adenocarcinoma, determining structural features that are statistically most significant for assessing disease severity and likelihood of tumour ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback