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 ...

ABSTRACT: Introduction: Breast Cancer (BC) remains a significant health concern worldwide, and accurate prediction of its recurrence after surgery is vital for patient management and treatment ...

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 ...

Abstract: Knowledge graphs show excellent application potential in natural language processing, but extracting overlapping relations of entities in their construction poses a significant challenge.

SageMaker example notebooks is the official repository, containing examples that demonstrate the usage of Amazon SageMaker. This repository is entirely focussed on covering the breadth of features ...