Human disease cost network analysis

2020 ◽  
Vol 39 (9) ◽  
pp. 1237-1249
Author(s):  
Chenjin Ma ◽  
Yang Li ◽  
BenChang Shia ◽  
Shuangge Ma
Keyword(s):  
Network Analysis ◽  
Human Disease ◽  
Disease Cost

scholarly journals Identifying Disease Comorbidity Patterns Using Centrality Measures in Computing

2021 ◽  
Vol 11 (4) ◽  
pp. 2964-2975
Author(s):  
Zahra Batool ◽  
Muhammad Junaid ◽  
Muhammad Naeem ◽  
Mehmood Ahmed ◽  
Luqman Shah ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Human Disease ◽  
Centrality Measures ◽  
Disease Network ◽  
Overlapping Communities ◽  
Crowd Management ◽  
Disease Networks ◽  
Business Modelling

Social network analysis has been increasingly employed to study patterns in diverse areas of disciplines such as crowd management, air passenger and freight transportation, business modelling and analysis, online social movements and bioinformatics. Over the years, human disease networks have been studied to analyze Human Disease, Genotype, and Phenotype networks. This study explores human Disease Network based on their symptoms by employing different social network analysis such as centrality measures of network, community detection, overlapping communities. We studied relationships of symptoms with diseases on meso-level in order to detect comorbidity pattern of communities in disease network. This help us to understand the underlying patterns of diseases based on symptoms and find out that how different disease communities are correlated by detecting overlapping communities.

Use of Protein a Conjugated to Peroxidase to Localize Immunoglobulin G in SSPE Ferret Brain

1982 ◽  
Vol 40 ◽  
pp. 350-351
Author(s):  
Hannah R. Brown ◽  
Anthony F. Nostro ◽  
Halldor Thormar
Keyword(s):  
Immunoglobulin G ◽  
Human Disease ◽  
Measles Virus ◽  
Subacute Sclerosing Panencephalitis ◽  
Protein A ◽  
Inflammatory Lesions ◽  
Sspe Virus ◽  
Specific Immunoglobulin ◽  
Antibody Titers ◽  
The Brain

Subacute sclerosing panencephalitis (SSPE) is a slowly progressing disease of the CNS in children which is caused by measles virus. Ferrets immunized with measles virus prior to inoculation with the cell associated, syncytiogenic D.R. strain of SSPE virus exhibit characteristics very similar to the human disease. Measles virus nucleocapsids are present, high measles antibody titers are found in the sera and inflammatory lesions are prominent in the brains. Measles virus specific immunoglobulin G (IgG) is present in the brain,and IgG/ albumin ratios indicate that the antibodies are synthesized within the CNS.

Spectroscopic imaging of human disease

1996 ◽  
Vol 54 ◽  
pp. 884-885
Author(s):  
D.J. Meyerhoff
Keyword(s):  
Magnetic Field ◽  
Magnetic Resonance ◽  
Field Gradient ◽  
Human Disease ◽  
Morphological Changes ◽  
Magnetic Field Gradient ◽  
Spectroscopic Imaging ◽  
Resonance Spectroscopy ◽  
Tissue Water

Magnetic Resonance Imaging (MRI) observes tissue water in the presence of a magnetic field gradient to study morphological changes such as tissue volume loss and signal hyperintensities in human disease. These changes are mostly non-specific and do not appear to be correlated with the range of severity of a certain disease. In contrast, Magnetic Resonance Spectroscopy (MRS), which measures many different chemicals and tissue metabolites in the millimolar concentration range in the absence of a magnetic field gradient, has been shown to reveal characteristic metabolite patterns which are often correlated with the severity of a disease. In-vivo MRS studies are performed on widely available MRI scanners without any “sample preparation” or invasive procedures and are therefore widely used in clinical research. Hydrogen (H) MRS and MR Spectroscopic Imaging (MRSI, conceptionally a combination of MRI and MRS) measure N-acetylaspartate (a putative marker of neurons), creatine-containing metabolites (involved in energy processes in the cell), choline-containing metabolites (involved in membrane metabolism and, possibly, inflammatory processes),

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural

Appendix: Some fundamentals of network analysis

1990 ◽  
pp. 235-240
Keyword(s):  
Network Analysis
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