Biomedical subjects

V Loumos

Publications and source records attributed to V Loumos.

5 recordsLinked to original sources

PubMed1994

A veterinary anatomy tutoring system.

A veterinary anatomy tutoring system was developed by using Knowledge Pro, an object-oriented software development tool with hypermedia capabilities, and MS Access, a relational database. Communication between them is facilitated by using the Structured Query Language (SQL). The architecture of the system is based on knowledge sets, each of which covers four different descriptions of an organ, namely gross anatomy (general description), gross anatomy (comparative features), histology, and embryology, which constitute the knowledge units. These knowledge units are linked with three global variables that define the animals, the topographies, and the system to which this organ belongs, creating three data-bases. These three data-bases are interrelated through the organ field in order to establish a relational model. This system allows versatility in the student's navigation through the information space by offering different modes for information location and presentation. These include course mode, review mode, reference mode, dissection mode, and comparison mode. In addition, the system provides a self-evaluation mode.

Anatomy, Veterinary↗

PubMed1994

Parasitology tutoring system: a hypermedia computer-based application.

The teaching of parasitology is a basic course in all life sciences curricula, and up to now no computer-assisted tutoring system has been developed for this purpose. By using Knowledge Pro, an object-oriented software development tool, a hypermedia tutoring system for teaching parasitology to college students was developed. Generally, a tutoring system contains a domain expert, a student model, a pedagogical expert and the user interface. In this project, particular emphasis was given to the user interface design and the expert knowledge representation. The system allows access to the educational material through hypermedia and indexing at the pace of the student. The hypermedia access is facilitated through key words defined as hypertext and objects in pictures defined as hyper-areas. The indexing access is based on a list of parameters that refers to various characteristics of the parasites, e.g. taxonomy, host, organ, etc. In addition, this indexing access can be used for testing the student's level of understanding. The advantages of this system are its user-friendliness, graphical interface and ability to incorporate new educational material in the area of parasitology.

Artificial Intelligence↗

PubMed1993

A multimedia relational database program for parasite identification.

Parasites are responsible for human and animal diseases causing suffering and economic loss all over the world. Parasite identification is an important step in treating and combating parasitic diseases. This task can be assisted by computer programs. Until now computer based systems for parasite identification were fixed tree-decision programs which had no updating or expansion capacity and no ability for optimal searching algorithms. A new program was developed by using a multimedia relational database management system with a graphical environment. This program can incorporate expert knowledge in its relational structure and identify the parasites by using its structured query language. Also, the program has the ability for partial identification by presenting the parasites that match the available incomplete information. In addition, the program can handle images and sound to present pictures and relevant information on the identified parasites. The advantages of the new program are its friendly graphical user interface and its unlimited capacity to incorporate new knowledge.

Algorithms↗

PubMed1991

A compiled computer program for assisting the diagnosis of gastrointestinal helminths of humans and animals.

A compiled computer program for assisting the diagnosis of gastrointestinal helminths in fecal examinations of humans and animals is described. The characteristics of this program which distinguish it from previous similar programs are that it does not require specific software, it does not need a lot of computer memory, and it covers both humans and animals, making it easier to use.

Animals↗

PubMedDate not supplied

An Expert PArasite IdentificatiON (EPAION) system with multimedia support.

Until now computer-assisted parasite identification was based on database applications requiring data specification on an individual basis, thus limiting the ability of the system to handle rule-based knowledge as humans are used to do. A new Expert PArasite IdentificatiON (EPAION: Greek term for expert) system was developed to serve as an interface between the database and the user, where the database is a repository for bionomic and morphological facts about the parasites for the expert system. The system was developed by using a logic-based computer language which allows the definition of rules and facts to assist the creation of queries to the database. The components of the system are the knowledge base, the multimedia data base, the inference mechanism, and the graphical user interface. The operational modules of the system are the Parasite Identifier and the system Utilities. This expert system facilitates knowledge incorporation in a manner simulating the natural mental process, thus allowing the checking of the accuracy of the information that the user feeds to the computer and the creation of intelligent queries to the database. These characteristics accelerate focusing and optimize the parasite identification scheme regardless of the user's profile of competency.

Animals↗