SinoXivJoint models of longitudinal and time-to-event data are essential for dynamic prediction in chronic disease research, but standard formulations typically assume linear biomarker–hazard associations an...
Evaluating the Design of ICT Implementation: Financial Impacts of Standardized System Specifications
This paper examines whether the specific design of information and communication technology (ICT) implementation plays a critical role in enhancing the fiscal efficiency of local governments. Although...
Background The 2023 Kahramanmaraş Earthquakes placed an immense psychosocial burden on healthcare workers. This study explores the experiences of professionals navigating a profound "dual role" parado...
Healthcare revenue cycle management (RCM) loses billions annually to claim denials, yet existing machine learning approaches treat billing as a prediction problem rather than a decision problemthey pr...
Forecasting the consumer price index (CPI) is essential for inflation monitoring and policy design, yet existing studies often rely on limited economic variables and single-country settings. This stud...
Background Co-infections with multiple parasites are widespread in wild populations and can influence both host-parasite and vector-parasite interactions. Among haemosporidian parasites, co-infections...
Introduction Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by poor prognosis. Based on the KEYNOTE-522 trial, neoadjuvant pembrolizumab plus chemotherapy has become the s...
Background & Aims: Posthepatectomy liver failure (PHLF) is a major cause of morbidity and mortality following liver resection. Accurate preoperative prediction of posthepatectomy liver failure (PHLF) ...
A comparative study on the accuracy of different machine learning methods for lung cancer prediction
Background The incidence and mortality rates of lung cancer (LC) are extremely high and continue to rise. Early diagnosis combined with timely intervention can effectively reduce mortality in LC patie...
Background: To curb the emergence of antibiotic-resistant Mycobacterium leprae strains, the WHO recommends monitoring of antimicrobial resistance (AMR). In Madagascar, molecular surveillance of resist...
