Using Laplacian spectrum to analyse the comorbidities network of hemorrhagic stroke
| Autor: | Attila Tiba, Imre Varga, Judit Zsuga, Tamás Bérczes, Attila Bérczes |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Quantitative Biology::Neurons and Cognition Laplacian spectrum Computer science business.industry Pattern recognition Graph 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Artificial intelligence Spectrum analysis Laplacian matrix business 030217 neurology & neurosurgery |
| Zdroj: | 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). |
| Popis: | We analyze a database containing medical data of patients who suffered hemorrhagic stroke. From the original database we built the corresponding comorbidities network, and we analyzed this network using a graph theoretical approach. Our main tool was to analyze the spectrum of the normalized Laplacian matrix of the network. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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