Figure 5. Structural portrait of acute phenobarbital
poisoning.
This figure demonstrates the structural portrait of acute
poisonings with phenobarbital obtained through the cluster
analysis method. This picture is presented as a graph, where
the vertices represent clinical-morphological and
laboratory-functional features of chemical illness, and the
connecting edges reflect the direction and inter-system
connections. In addition, the arrangement of features is
ranked according to their influence (level of proximity) on
the outcome of the illness. In other words, the upper part of
the graph contains features that dominate in the mechanism
of thanatogenesis (respiratory paralysis, pneumonia, etc.),
while the lower part of the graph concentrates indicators
that do not have a significant impact on the outcome of
poisoning.
4 CONCLUSION
The implementation of toxicometric assessment in
acute chemical illness offers valuable insights into the
primary effects of toxic substances on homeostasis,
facilitating tailored resuscitation interventions and
scientifically informed expert evaluations of illness
severity and post-mortem diagnoses. However,
addressing the complexities of medical care in acute
poisonings, particularly during mass disasters,
necessitates innovative solutions such as intelligent
computer systems. The sheer volume and diversity of
chemical illnesses make comprehensive physician
training in pathogenesis, clinical manifestations, and
treatment virtually unattainable. Consequently, the
development and deployment of such computer-
based programs are imperative for enhancing medical
response capabilities. Moving forward, collaboration
with institutions like the Research Institute of Clinical
and Experimental Lethal would be vital for advancing
research and implementing practical solutions to
improve outcomes in cases of acute chemical
poisoning.
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