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Biomedical subjects

L Kuncheva

Publications and source records attributed to L Kuncheva.

5 recordsLinked to original sources
PubMed1993

An aggregation of pro and con evidence for medical decision support systems.

One promising way to increase the classification accuracy of medical decision support systems is to implement heuristic combinations of pattern recognition and artificial intelligence tools. A parallel between "cognition" model and differential diagnostic task is sketched accentuating the aggregation of activating and restraining inputs and corresponding PRO and CON evidence in medicine. On the basis of this paradigm a trainable model of a fuzzy neuron is proposed which resembles some elements from the physician's decision process. An example from aviation medicine is presented which demonstrates the enhanced performance.

Aerospace Medicine↗
PubMed1993

Two-level classification schemes in medical diagnostics.

A two-level classifier for medical applications is considered. Such classifiers are expected to yield a more precise result than classical one-level classifiers. The underlying idea for two-level classification is supported by the routine practice of physicians to confirm the diagnosis by several data-driven inferences. An overview of the types of the two-level classifiers is presented. The competitive two-level classifier is emphasized. Three examples with real clinical data are presented from the fields of cardiology, aviation medicine, and neonatology.

Aerospace Medicine↗
PubMed1993

DREAM: a shell-like software system for medical data analysis and decision support.

A software system was designed whose aim is to support everyday scientific research of physicians in different fields of medicine. DREAM is a shell-like tool which can be customized embedding in it the desirable structure of a particular medical problem. Various basic statistical analyses are provided along with the decision support capabilities. The decision aid is proposed in two steps--feature selection and classifier design. Genetic algorithm is implemented as the feature selection procedure. The classifier design option includes crisp and fuzzy k-Nearest Neighbors rule and a two-level classification scheme based on majority rule on the votes of several first-level k-Nearest Neighbors classifiers. The system's performance is illustrated with a database from aviation medicine.

Aerospace Medicine↗
PubMed1976

[Effect of preparation TB-68 on spermatopoiesis in rats (autoradiographic study)].

Male mature rats were treated per of with TB-68 and intraperitonealy with 3H-thymidine during 7 and 12 days. By means of statistical count of labelled cells in semi niferous tubules a considerable increase of DNA replicating cells in experimental animals was established. The higher percentage of labelled calls reveales an stimulating effect of TB-68 concerning the spermatogonial proliferation, some acceleration of the meiosis and positive influence of the spermatopoiesis as a whole.

Animals↗