Globally, approximately one in three of all adults suffer from multiple chronic conditions
(MCCs). This review provides a comprehensive overview of the resulting epidemiological …

Abstract The European Collaborative on Personalized Early Detection and Prevention of
Breast Cancer (ENVISION) brings together several international research consortia working …

Introduction: In public health, machine learning algorithms have been used to predict or
diagnose chronic epidemiological disorders such as diabetes mellitus, which has reached …

Globally, type 2 diabetes mellitus (T2DM) is considered as one of the most common
diseases. The etiology of T2DM is complex and is associated with irreversible risk factors …

Effective and resource-efficient long-term management of multimorbidity is one of the
greatest health-related challenges facing patients, health professionals, and society more …

Models—mathematical frameworks that facilitate estimation of the consequences of health
care decisions—have become essential tools for health technology assessment. Evolution …

Trust and confidence are critical to the success of health care models. There are two main
methods for achieving this: transparency (people can see how the model is built) and …

Background Modelling studies have been widely used to inform human papillomavirus
(HPV) vaccination policy decisions; however, many models exist and it is not known whether …

Background: Tobacco control efforts implemented in the United States since the 1960s have
led to considerable reductions in smoking and smoking-related diseases, including lung …

Objectives The objective of the study is to present the Grading of Recommendations
Assessment, Development, and Evaluation (GRADE) conceptual approach to the …