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Biomedical subjects

Hongmei Yan

Publications and source records attributed to Hongmei Yan.

3 recordsLinked to original sources

The internet-based knowledge acquisition and management method to construct large-scale distributed medical expert systems.

The Internet offers an unprecedented opportunity to construct powerful large-scale medical expert systems (MES). In these systems, a cost-effective medical knowledge acquisition (KA) and management scheme is highly desirable to handle the large quantities of, often conflicting, medical information collected from medical experts in different medical fields and from different geographical regions. In this paper, we demonstrate that a medical KA/management system can be built upon a three-tier distributed client/server architecture. The knowledge in the system is stored/managed in three knowledge bases. The maturity of the medical know-how controls the knowledge flow through these knowledge bases. In addition, to facilitate the knowledge representation and application in these knowledge bases as well as information retrieval across the Internet, an 8-digit numeric coding scheme with a weight value system is proposed. At present, a medical KA and management system based on the proposed method is being tested in clinics. Current results have showed that the method is a viable solution to construct, modify, and expand a distributed MES through the Internet.

Computer Systems↗

[Study on medical diagnosis decision support system for heart diseases based on hybrid genetic algorithm].

In this study, a medical diagnosis decision support system based on hybrid genetic algorithm has been established to support the diagnosis of five common heart diseases (coronary heart disease, rheumatic valvular heart disease, hypertensive heart disease, chronic cor pulmonale and congenital heart disease). A heart disease database consisting of 352 samples was used for constructing and testing the performance of system. Cross-validation of the experimental results indicate that the system we established shows high capability of classifying these five kinds of heart diseases, the mean accuracy of classification is as high as 90.6%, and the user accuracy and procedure accuracy of each disease are both above 85.0%, showing great application prospect of supporting heart diseases diagnosis in clinics.

Algorithms↗

An integrative pharmacokinetic and pharmacodynamic study of the 5-HT1A receptor antagonist (S)-UH-301 in the rat.

(S)-UH-301 ((-)-(S)-5-fluoro-8-hydroxy-2-(di-n-propylamino)tetralin hydrochloride) is a well known 5-HT(1A) receptor antagonist. The present study describes the pharmacokinetic properties of (S)-UH-301 after subcutaneous administration in rats, using a newly developed HPLC-UV bioanalytical method. The relationships between (S)-UH-301 concentrations and some pharmacodynamic effects were also studied. The AUC of (S)-UH-301 in brain, but not in plasma, increased in proportion to dose (1-100 mumol/kg). However, at doses above 32 mumol/kg, peak concentrations of the drug did not increase in proportion to dose, and there was a doubling of its apparent half-life. There was a good correspondence between the time courses for the antagonism of 8-OH-DPAT-induced motor behaviours and hypothermia and the tissue concentrations of (S)-UH-301. Doses of (S)-UH-301 above 10 mumol/kg decreased 5-HT and dopamine synthesis. Therefore, a selective 5-HT(1A) antagonistic dose range of (S)-UH-301 should be 0.1-10 mumol/kg s.c., corresponding to concentrations below approximately 10 nmol/g in brain and approximately 1 nmol/ml in plasma.

5-Hydroxytryptophan↗