TY - JOUR
T1 - Network analysis of toxic chemicals and symptoms
T2 - implications for designing first-responder systems.
AU - Bhavnani, Suresh K.
AU - Abraham, Annie
AU - Demeniuk, Christopher
AU - Gebrekristos, Messeret
AU - Gong, Abe
AU - Nainwal, Satyendra
AU - Vallabha, Gautam K.
AU - Richardson, Rudy J.
PY - 2007
Y1 - 2007
N2 - The rapid and accurate identification of toxic chemicals is critical for saving lives in emergency situations. However, first-responder systems such as WISER typically require a large number of inputs before a chemical can be identified. To address this 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 first-responder systems, with the goal of rapidly identifying toxic chemicals in emergency situations.
AB - The rapid and accurate identification of toxic chemicals is critical for saving lives in emergency situations. However, first-responder systems such as WISER typically require a large number of inputs before a chemical can be identified. To address this 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 first-responder systems, with the goal of rapidly identifying toxic chemicals in emergency situations.
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M3 - Article
C2 - 18693796
AN - SCOPUS:56149123651
SN - 1559-4076
SP - 51
EP - 55
JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
ER -