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The paper shows that the currently available Russian and foreign computer medical monitors (CMMs) may generally solve the simplest tasks of data visualization, recording, and archiving. It is justified that to enhance the "intellectuality" of CMMs, it is necessary to turn to the solution of the problems and tasks of medical monitoring, by using the whole range of methods for biosignal detection and processing, which has been accumulated in modern radio engineering, in the theory of communication, and in engineering and medical cybernetics.

Medical monitoring is regarded as a task of detecting and classifying human abnormalities. A computer medical monitor (CMM) is a complex hierarchical system with artificial intellect elements at the top levels of hierarchy. Each level of hierarchy performs a definite task in collecting and processing current information. Based on this approach, the authors put forward tasks of medical diagnostic and prognostic studies by developing the hierarchical network architecture of CMM.

Analysis of about 30 medical computer monitors has allowed the authors to make a conclusion on the present status of this field of medical engineering, operating properties and technical data. The parameters to be monitored, methods of their determination and processing are dealt with. The lines of further development of Russian medical computer monitors are outlined.

The paper deals with the problems of medical monitoring, namely how to solve those in the detection and classification of human abnormalities. The medical monitor is a complex hierarchic system and the authors state problems and tasks for each level of hierarchy and the objectives of studies in medical diagnosis and prediction while designing the hierarchic network structure of a medical computer monitor. A parallel is drawn between the image recognition theory and medical diagnosis.

The paper considers some modes of designing regression and autoregression models for predicting morbidity rates, as well as methods for correlation and factorial analysis of medical statistics on the basis of the materials available on cancer morbidity in Udmurtia.

The paper deals with the complex presentation of data for endoscopic studies on personal computers for the benefit of a physician in drawing up medical documents, establishing an accurate diagnosis, preparing a treatment regimen, as well as in facilitating his work, storing and processing data, searching for reference information, drawing up the dynamics of morbidity and its prediction. A scheme for complex presentation of the information required for endoscopic studies is given.