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A Network Analysis to Identify Lung Cancer Comorbid Diseases by Rustamaji, Heru C. (author);Suharini, Yustina S. (author);Permana, Angga A. (author);Kusuma, Wisnu A. (author);Nurdiati, Sri (author);Batubara, Irmanida (author);Djatna, Taufik (author) is a Physics and Astronomy article available to read on EtoBox.

What is A Network Analysis to Identify Lung Cancer Comorbid Diseases about?

## Abstract Cancer patients with comorbidities face various life problems, health costs, and quality of life. Therefore, determining comorbid diseases would significantly affect the treatment of cancer patients. Because cancer disease is very complex, we can represent the relationship between cancer and its comorbidities as a network. Furthermore, the network analysis can be employed to determine comorbidities as a community detection problem because the relationship between cancer and its comorbidities forms a community. This study investigates which community detection algorithms are more appropriate to determine the comorbid of cancer. Given different community findings, this study attempted to analyze the modularity generated by the algorithm to decide the significant comorbid diseases. We retrieved lung cancer comorbid data on the basis of text mining manuscripts in PubMed, searched through disease ontologies, and calculated disease similarity. We investigate 20 algorithms using five modularity metrics and 16 fitness function evaluations to determine the significant comorbid diseases. The results show the five best modularity algorithms, namely label propagation, spinglass, Ch

Who reads A Network Analysis to Identify Lung Cancer Comorbid Diseases?

It is typically read by researchers, students, and practitioners in Physics and Astronomy.

Author
Rustamaji, Heru C. (author);Suharini, Yustina S. (author);Permana, Angga A. (author);Kusuma, Wisnu A. (author);Nurdiati, Sri (author);Batubara, Irmanida (author);Djatna, Taufik (author)
Publisher
Springer Science and Business Media LLC
Published
2022
Language
EN
Field
Physics and Astronomy (Physical Sciences)

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