BMJ Quality & Safety

Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study

Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
Frontiers

Deep exploration and precise identification of key risk factors for diabetic peripheral neuropathy using the random forest algorithm

Background: Diabetic peripheral neuropathy (DPN) is a prevalent and highly disabling complication of diabetes mellitus, associated with markedly increased rates of disability and mortality. Timely ...
Frontiers

Prediction of total iodine dose of I-131 therapy for Graves’ hyperthyroidism achieved remission status: a random forest regressor model approach to assess treatment efficacy

Department of Nuclear Medicine, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region, China Objective: Graves’ hyperthyroidism (GH) presents significant ...
IEEE

Jaya Algorithm-based Optimization of Random Forest for Liver Disease

Abstract: Liver disease is a significant public health issue worldwide, and early detection is critical for successful therapy and control. The traditional diagnosis is usually invasive and not easily ...
IEEE

Performance Analysis of Random Forest Algorithm for Customer Churn Prediction in the Telecommunications Sector

Abstract: In response to increasing competition and rising demands for digital services, telecommunications companies face heightened challenges in managing customer retention and reducing churn.