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Unlabelled: The paper presents the system for intelligent analysis of clinical information. Authors describe methods implemented in the system for clinical information retrieval, intelligent diagnostics of chronic diseases, patient's features importance and for detection of hidden dependencies between features. Results of the experimental evaluation of these methods are also presented., Background: Healthcare facilities generate a large flow of both structured and unstructured data which contain important information about patients. Test results are usually retained as structured data but some data is retained in the form of natural language texts (medical history, the results of physical examination, and the results of other examinations, such as ultrasound, ECG or X-ray studies). Many tasks arising in clinical practice can be automated applying methods for intelligent analysis of accumulated structured array and unstructured data that leads to improvement of the healthcare quality., Aims: the creation of the complex system for intelligent data analysis in the multi-disciplinary pediatric center., Materials and Methods: Authors propose methods for information extraction from clinical texts in Russian. The methods are carried out on the basis of deep linguistic analysis. They retrieve terms of diseases, symptoms, areas of the body and drugs. The methods can recognize additional attributes such as "negation" (indicates that the disease is absent), "no patient" (indicates that the disease refers to the patient's family member, but not to the patient), "severity of illness", disease course", "body region to which the disease refers". Authors use a set of hand-drawn templates and various techniques based on machine learning to retrieve information using a medical thesaurus. The extracted information is used to solve the problem of automatic diagnosis of chronic diseases. A machine learning method for classification of patients with similar nosology and the methodfor determining the most informative patients'features are also proposed., Results: Authors have processed anonymized health records from the pediatric center to estimate the proposed methods. The results show the applicability of the information extracted from the texts for solving practical problems. The records ofpatients with allergic, glomerular and rheumatic diseases were used for experimental assessment of the method of automatic diagnostic. Authors have also determined the most appropriate machine learning methods for classification of patients for each group of diseases, as well as the most informative disease signs. It has been found that using additional information extracted from clinical texts, together with structured data helps to improve the quality of diagnosis of chronic diseases. Authors have also obtained pattern combinations of signs of diseases., Conclusions: The proposed methods have been implemented in the intelligent data processing system for a multidisciplinary pediatric center. The experimental results show the availability of the system to improve the quality of pediatric healthcare.

The paper presents results of a comprehensive analysis of the cardiovascular diseases (CVD) situation, both in the global and Russian contexts. It introduces original data illustrating the declining mortality rate from CVD, and the diminishing contribution of these diseases to overall mortality rate--globally and, to a larger extent, in developed countries. The paper also analyses the reasons for continuing CVD epidemic in Russia. Based on factual evidence, it argues that those include insufficient expenditures on treating CVD patients, and critically inadequate funding of prevention programmes. Unsatisfactory use of these funds to subsidise Russian regions (without taking into account their actual needs determined by the CVD mortality rate) only makes the problem worse. Through modelling, "average" efficiency of the Russian health care system in reducing CVD mortality was revealed. The paper describes various scenarios for future development of the Russian CVD situation. In the context of innovation-based scenario, the advantages of technologicalforesight are analysed; specifically, the authors summarise major S & T development trends in the health sector (using data of the Russian S & T Foresight 2030), which could significantly contribute to stopping the CVD epidemic in Russia.

Microsporidiosis is an ubiquitous opportunistic disease that usually appears in immunocompromised patients: AIDS patients or organ-transplant recipients. The infectious agents of disease are fungi-related obligate intracellular parasites - microsporidia. Alongside with Cryptosporidium and Cytomegalovirus, these parasites are the most common causative agents of diarrhea in HIV-infected patients. Intestinalform of microsporidiosis has been mostfrequently observed, but microsporidia can affect almost any organs of the human body, eyes, lungs, muscles, organs of the nervous system. The present paper overviews the current data on the etiology, pathogenesis, epidemiology, clinical presentation, diagnosis and treatment methods of microsporidiosis.

The scope of bibliometric research is focused on academic output of the Russian Academy of Medical Sciences (RAMS) in 2011 by analyzing the data extracted from the Web of Science database and InCites application Research Performance Profile of RAMS. Using these analytical tools trends in dynamics of publications and citing of the RAMS researchers were calculated and the level of scientific output in some biomedical subject areas was estimated. Studies revealed the great importance of international collaboration and international coauthorship for RAMS in producing papers published in established scholarly journals. Basic metrics of scientific performance that should be required to achieve the goals declared in the recent governmental policy papers were measured for RAMS institutions as well. Another problem investigated in this research is the problem of low citedness ofRAMS journal papers indexed in WoS. Factors and reasons influenced on low citedness were discovered In conclusion authors set out priorities and reasonable goal-oriented efforts to achieve better results in publication activity.

A significant role of neurology for medicine and society is caused by severity of clinical presentations and consequences of the nervous system diseases, as well as by huge economic burden related to neurological pathology. The paper presents a review of the current state and prospects for the development of socially most important fields of modern neurology, among which one can list studies of cerebrovascular, neurodegenerative, demyelinating and hereditary disorders, discovery of molecular mechanisms of their pathogenesis, and improvement of the methods of treatment, neurorehabilitation and prophylaxis on the basis of new medical technologies. An essential link between clinical and basic research in expanding the existing knowledge about the structure/functions of the brain in normal conditions and different-type pathological processes is stressed.

The paper describes dynamics, distribution and morbidity rate during the 2009 A(H1N1)v influenza epidemic in Russia. The epidemic appears to have been especially severe in the cities of the Far-East and Siberian Federal Districts where the average morbidity rate ranged from 6.4% to 19.2% (mean 10.3%) and the epidemic duration from 7.8 to 8 weeks. In less affected Southern and Central Federal Districts A(H1N1)v influenza occurred in 5.7% of the population. Schoolchildren aged 7-4 years showed the highest morbidity rate of 28.8%. The age group of 18-53 years accounted for 79.4% of the total lethality. Viral isolates were genetically stable and exhibited 98.9% hemagglutnin (HA) homology with reference viruses. None of the strains had an amino acid substitution at position 275 of neuraminidase (NA) responsible for resistance to oseltamivir. Towards the end of the epidemic, the viral population displayed a significant rise in the number of strains containing mutations in 4 genes (4 HA, 2 NA, 2 PB2 and 1 PA mutations respectively). 26.7% of the viral isolates obtained in the end of the epidemic had D222G substitution responsible for tropism of viruses to lung tissues. Epidemiologically, the 2009 A(H1NI)v influenza epidemic is described as moderate based on the absence of pathogenicity determinants typical of both A(H1N1) influenza virus of 1918 and A(H5N1) virus. The paper compares the 2009 epidemic with those caused by A/Honkong/68 and A/USSR/ 90/77 viruses. The necessity of classification for the discrimination between A(H1N1) subtype viruses is emphasized.

The paper reports results of sociological analysis of satisfaction of the patients with the medical care provided in in-patient facilities of Arkhangelsk and Vologda regions and Komi Republic. The authors distinguish three groups of factors (professional, organizational, informational) that determine the patients' content with the quality of medical services. The study revealed the generally low level of patients' satisfaction estimated based on selected criteria for medical aid and services.

The paper deals with health problems of working-age population in the Russian Federation. According to foreign and domestic experts reduction of the able-bodied population and its fraction in the general population will be accompanied by ageing of labour force in the nearest two decades. Despite the growth of life expectancy in 2006-2007 demonstrated by disability, mortality and life expectancy indices for the age group of interest, its health status is considered to be critical. Mathematical simulation of mortality rates allowed for the assessment of potential years of life lost (PYLL) from leading causes of death among active working population. The data obtained provide a basis for the elaboration of medical and social programs aimed at increasing life expectancy. The most essential role in current negative tendencies in the health of active working population belongs to the deterioration of work conditions and safety at industrial enterprises coupled to low efficiency of occupational health prevention system accounting for the significantly reduced accessibility of health services. Restoration of occupational health system in Russia is of crucial importance. Experts of the Institute of Occupational Health have elaborated a draft National Action Plan designed to improve health protection of labour force in this country; its implementation would help to solve demographic problems and increase the amount and quality of labour force.

The paper deals with the strategy of training specialists in preventive medicine and improvement of their professional skills for the management of activities aimed at the maintenance of adequate population health status and prevention of adverse effects of environmental factors. Integration of managerial issues into curricula and teaching courses for preventive medicine specialists may be instrumental in upgrading their professional level.