Tag: Predictive modeling
-

Development and external validation of a machine learning-based model for predicting heart failure risk in Chinese adults with type 2 diabetes
Introduction Type 2 diabetes mellitus (T2DM) is a growing public health concern in China, affecting an estimated 11.2% of the adult population and acting as an independent risk factor for heart failure (HF). The close link between T2DM and HF has driven interest in data-driven approaches that can identify high-risk patients early. This article summarizes…
-

Endoscopic Intervention in Renal Failure UGIB: Efficacy & Models
Introduction Upper gastrointestinal bleeding (UGIB) poses a significant risk in patients with renal insufficiency. Endoscopic intervention is a standard therapy aimed at stopping bleeding and reducing mortality. However, the effectiveness of endoscopy may vary according to kidney function, comorbidities, and the severity of bleeding. This article explores disease severity thresholds where endoscopic intervention may fail…
-

Endoscopic Intervention in Renal Failure with Upper Gastrointestinal Bleeding: Efficacy and Predictive Modeling
Introduction Upper gastrointestinal bleeding (UGIB) represents a critical challenge in patients with renal insufficiency. Renal impairment complicates hemostasis, alters pharmacokinetics of medications, and can influence the success rates of endoscopic interventions. This article reviews the efficacy of endoscopy in this high‑risk population, identifies disease severity thresholds where intervention may fail to reduce mortality, and describes…
-

Radiomics in NPC: AI Predicts Immunotherapy Response More Accurately Than Clinical Models
Unlocking Radiomics for Nasopharyngeal Carcinoma (NPC) Nasopharyngeal carcinoma (NPC) is a highly aggressive cancer often diagnosed at locally advanced stages. In recent years, immune checkpoint inhibitors (such as PD-1 blockers) have offered new hope, yet most patients derive only limited durable benefit. A multicenter study led by researchers from the First Affiliated Hospital of Jinan…
