Diagnosis of Hridroga (cardiac disorders) in
Ayurveda requires the combination of many different types of
data, including personal details, patient symptoms, patient
histories, general examination results, Ashtavidha pareeksha
results etc. Computer-assisted decision support systems must
be able to combine these data types into a seamless system.
Intelligent agents, an approach that has been used chiefly in
business applications, is used in medical diagnosis in this case.
This paper is about a multi-agent system named “Distributed
Ayurvedic Diagnosis and Therapy System for Hridroga using
Agents” (DADTSHUA). It describes the architecture of the
DADTSHUA model .This system is using mobile agents and
ontology for passing data through the network. Due to this,
transport delay can be minimized. It is a system which will be
very helpful for the beginning physicians to eliminate his
ambiguity in diagnosis and therapy. The system is
implemented using Java Agent DEvelopment framework
(JADE), which is a java-complaint mobile agent platform from
TILab.
Description:
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC 2009)
Smitha, Mohanlal; Dr. Jayalekshmy, A(National Institute for Interdisciplinary Science and Technology (CSIR), December , 2011)
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Abstract:
The study was planned to investigate the bioactive compounds in Njavara
compared to staple varieties and their bioactivity to substantiate the medicinal
properties. Results of the study on chemical indices, antioxidant activity and antiinflammatory
activity (in vivo) of Njavara black rice bran and rice in comparison with
non-medicinal varieties like Sujatha and Palakkadan Matta rice bran and rice are given. The phytochemical investigation and quantification of Njavara extracts in
comparison with staple varieties are detailed in this study. The last chapter is divided in three sections (A, B and C). Section A comprises the antioxidant activity
by in vitro assays like DPPH, superoxide anion radical and hydrogen peroxide
scavenging activity of the compounds. Also, theoretical studies using DFT were carried
out based on DPPH radical scavenging activity for understanding the radical stability
and mechanism of antioxidant activity. Section B comprises the anti-inflammatory
activity of the identified compounds namely tricin and two flavonolignans in both in
vivo and in vitro models. Section C describes the cytotoxicity of the rare flavonolignans,
tricin 4’-O-(erythro-β-guaiacylglyceryl) ether and tricin 4’-O-(threo-β-guaiacylglyceryl)
ether towards multiple cancer cells belonging to colon, ovarian and breast tumours.