A network topology approach in survival analysis
Network topology can be used to simplify the complexity of the data sets. We are exploring its function in performing survival analysis to identify the most important factor that contributed to the survival time from diagnosis to death. This technique has the potential to illustrate easily some type...
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my.ump.umpir.241702020-06-16T07:17:42Z http://umpir.ump.edu.my/id/eprint/24170/ A network topology approach in survival analysis Nur Syahidah, Yusoff Noryanti, Muhammad Chuan, Zun Liang Q Science (General) TP Chemical technology Network topology can be used to simplify the complexity of the data sets. We are exploring its function in performing survival analysis to identify the most important factor that contributed to the survival time from diagnosis to death. This technique has the potential to illustrate easily some types of complex interactions in data set. Then, based on those interactions, the most important factor in survival analysis will be identified. In this paper, the interpretation of that network topology will be delivered by using centrality measures. An example in survival analysis will be presented and discussed . IOP Publishing 2018-10 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24170/1/26.%20A%20network%20topology%20approach%20in%20survival%20analysis.pdf pdf en http://umpir.ump.edu.my/id/eprint/24170/2/26.1%20A%20network%20topology%20approach%20in%20survival%20analysis.pdf Nur Syahidah, Yusoff and Noryanti, Muhammad and Chuan, Zun Liang (2018) A network topology approach in survival analysis. In: Journal of Physics: Conference Series; 12th Seminar on Science and Technology 2018, 2-3 October 2018 , Kota Kinabalu, Sabah, Malaysia. , 1358 (012074). ISSN 1742-6588 (print); 1742-6596 (online) https://doi:10.1088/1742-6596/1358/1/012074 |
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Q Science (General) TP Chemical technology Nur Syahidah, Yusoff Noryanti, Muhammad Chuan, Zun Liang A network topology approach in survival analysis |
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Network topology can be used to simplify the complexity of the data sets. We are exploring its function in performing survival analysis to identify the most important factor that contributed to the survival time from diagnosis to death. This technique has the potential to illustrate easily some types of complex interactions in data set. Then, based on those interactions, the most important factor in survival analysis will be identified. In this paper, the interpretation of that network topology will be delivered by using centrality measures. An example in survival analysis will be presented and discussed
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format |
Conference or Workshop Item |
author |
Nur Syahidah, Yusoff Noryanti, Muhammad Chuan, Zun Liang |
author_facet |
Nur Syahidah, Yusoff Noryanti, Muhammad Chuan, Zun Liang |
author_sort |
Nur Syahidah, Yusoff |
title |
A network topology approach in survival analysis |
title_short |
A network topology approach in survival analysis |
title_full |
A network topology approach in survival analysis |
title_fullStr |
A network topology approach in survival analysis |
title_full_unstemmed |
A network topology approach in survival analysis |
title_sort |
network topology approach in survival analysis |
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IOP Publishing |
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2018 |
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http://umpir.ump.edu.my/id/eprint/24170/1/26.%20A%20network%20topology%20approach%20in%20survival%20analysis.pdf http://umpir.ump.edu.my/id/eprint/24170/2/26.1%20A%20network%20topology%20approach%20in%20survival%20analysis.pdf http://umpir.ump.edu.my/id/eprint/24170/ https://doi:10.1088/1742-6596/1358/1/012074 |
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