Name
Title | ||
|---|---|---|
Network Analysis of Toxic Chemicals and Symptoms: Implications for Designing First-Responder Systems |
Abstract | ||
|---|---|---|
The rapid and accurate identification of toxic chemicals is critical for saving lives in emergency situations. However, first-responder systems such a s WISER typically require a large number of inputs before a chemical can be identified. To address thi s problem, we used networks to visualize and analyze the complex relationship between toxic chemicals and their symptoms. The results explain why current approaches require a large number of inputs and help to identify regularities related to the co- occurrence of symptoms. This understanding provides implications for the design of future firs t- responder systems, with the goal of rapidly identifying toxic chemicals in emergency situations . |
Year | Venue | Keywords |
|---|---|---|
2007 | AMIA | algorithms,emergency medical services |
Field | DocType | Citations |
First responder,Computer security,Computer science,Databases as Topic,Risk analysis (engineering),Emergency medical services,Network analysis,Audiovisual Aids | Conference | 9 |
PageRank | References | Authors |
1.26 | 2 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Suresh K. Bhavnani | 1 | 399 | 40.24 |
| Annie Abraham | 2 | 9 | 1.60 |
| Christopher Demeniuk | 3 | 9 | 1.26 |
| Meseret Gebrekristos | 4 | 9 | 1.26 |
| Abe Gong | 5 | 9 | 1.26 |
| Satyendra Nainwal | 6 | 16 | 1.99 |
| Gautam K. Vallabha | 7 | 24 | 3.17 |
| Rudy J. Richardson | 8 | 9 | 1.26 |