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 ...

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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 ...

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.

A P-8A Poseidon from the “Pelicans” of Patrol Squadron (VP) 45 flies by the aircraft carrier USS Nimitz (CVN 68). (U.S. Navy photo by Mass Communication Specialist 2nd Class Caitlin Flynn) WASHINGTON ...

The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...