The co-occurrence of diseases can inform the underlying network biology of shared and
multifunctional genes and pathways. In addition, comorbidities help to elucidate the effects …

The prevalence of childhood and adolescence overweight an obesity is raising at an
alarming rate in many countries. This poses a serious threat to the current and near-future …

Natural phenomena and mechanisms have always intrigued humans, inspiring the design of
effective solutions for real-world problems. Indeed, fascinating processes occur in nature …

Objective To survey network analyses of datasets collected in the course of routine
operations in health care settings and identify driving questions, methods, needs, and …

Purpose This paper aims to analyze how decision support systems manage Big data to
obtain value. Design/methodology/approach A systematic literature review was performed …

Cancer patients with comorbidities face various life problems, health costs, and quality of
life. Therefore, determining comorbid diseases would significantly affect the treatment of …

Networks are powerful and flexible structures for modeling relationships in medical and
biological systems, but in a traditional first-order network representation, an edge typically …

The socioeconomic costs of neurodegenerative diseases (NDs) are highly affected by
comorbidities. This study aims to enhance our understanding of the prevalent complications …

Objectives Comorbidity network analysis (CNA) is a graph-theoretic approach to systems
medicine based on associations revealed from disease co-occurrence data. Researchers …

The detailed comorbidity patterns of community-dwelling older adults have not yet been
explored. This study employed a network-based approach to investigate the comorbidity …