Abstract: Clinically, chickens showed progressively developed
clinical signs represented by sever cyanosis of the comb and wattles
with hemorrhage at the shanks, depression, and ruffling feathers with
loss of appetite and high daily mortalities. The ducks showed severe
neurological signs as torticollus, seizures and inability to stand with
mild signs of diarrhea and depression. Grossly, chickens showed
hemorrhages and congestion in most of the organs particularly lung,
liver, spleen, trachea and kidney. The examined ducks showed
multiple petechial hemorrhages, multifocal hemorrhagic necrosis in
the pancreas, pulmonary edema, congestion and hemorrhage in
meninges and congestion in the skeletal muscles. Histopathology
revealed severe congestion and hemorrhages in most of the organs
particularly lung, liver and kidney. Microscopic erosive tracheitis,
sever pulmonary congestion and perivascular oedema and lymphogranulocytic
pneumonia were constant. The liver showed hepatocyts
necrosis and lympho-granulocytic infiltration. The kidney showed
renal tubular necrosis and diffuse congestion. Multifocal, neuronal
necrosis, hemorrhages, multifocal glial nodules, lympho- histiocytic
perivascular cuffing, and occasional neuronophagia were observed in
the cerebrum. Other organs showed moderate changes.
Abstract: This paper presents a system for discovering
association rules from collections of unstructured documents called
EART (Extract Association Rules from Text). The EART system
treats texts only not images or figures. EART discovers association
rules amongst keywords labeling the collection of textual documents.
The main characteristic of EART is that the system integrates XML
technology (to transform unstructured documents into structured
documents) with Information Retrieval scheme (TF-IDF) and Data
Mining technique for association rules extraction. EART depends on
word feature to extract association rules. It consists of four phases:
structure phase, index phase, text mining phase and visualization
phase. Our work depends on the analysis of the keywords in the
extracted association rules through the co-occurrence of the keywords
in one sentence in the original text and the existing of the keywords
in one sentence without co-occurrence. Experiments applied on a
collection of scientific documents selected from MEDLINE that are
related to the outbreak of H5N1 avian influenza virus.