Detecting Community Structures in Patients with Peripheral Nervous System Disorders

Please enable javascript in your browser.

This page was sent successfuly

Bookmark

1284 viewed

تشخیص ساختارهای Community در بیماران مبتلا به اختلالات سیستم اعصاب محیطی

1284 Viewed

Type of Document: M.Sc. Thesis
Language: English
Document No: 53056 (52)
University: Sharif University of Technology, International Campus, Kish Island
Department: Science and Engineering
Advisor(s): Hemmatyar, Ali Mohammad Afshin; Movaghar, Ali
Abstract:
Nowadays, many biological systems are modeled by bipartite networks. So, using network's concepts and techniques such as community detection may lead us to more accurate outcomes.In this thesis, we have presented an algorithm for detection of communities in a network of patients with Peripheral Nervous System (PNS) issues. The bipartite network of the patients is formed based on the dataset which is collected with cooperation of a Spinal Specialty Clinic. In our algorithm, called MRComSim, three different methods are used to project the bipartite graph to unipartite graph. Then the projected unipartite graph of each method is used for community detection. The output result of our algorithm is in agreement up to 85.90% with the Diagnosis of Doctor (DofD)
Keywords:
Bipartite Networks ; Community Detection ; Peripheral Nerve Injury ; Nervous System