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The subsystem of planned hospitalization HIS in a healthcare organization engaged in scientific activity |
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Information and analytical system for assessing patient satisfaction in a multidisciplinary hospital |
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Melerzanov A.V. |
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Mendeleeva L.P. |
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Mikheev A.E. |
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Symptomcheckers for patients in the russian-speaking segment of the internet: comparative analysis |
Mironov Yu.G. |
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Methodology for assessing the risks of diagnosing and prescribing treatment during direct-to-patient and their official representatives telemedicine consultations |
Mishkin I.A. |
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mHealth apps as a tool for the prevention of cardiovascular diseases. Systematic review |
Molchanov K.A. |
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Professional training by distance: psychological and pedagogical consequences of implementation and possible directions of further development |
Morozov S.P. |
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Technical tests of the hardware and software complex for electrocardiogram recording and processing |
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Outpatient monitoring of anticoagulant therapy adherence via mobile application: an analysis of the required functions |
Mukhortova A.N. |
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Rationale for the recommended time frames for reporting of CT and MRI results |
Murashko M.M. |
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Multimodal data analysis, “Human” and “Machine” approaches difference, social problematics of biomedical data collection and turnover |
Murashko R.A. |
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Implementation experience and development prospects of an integrated information system in the oncological service of the Krasnodar region |
Musevi U.N. |
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Fuzzy logic system for increasing diagnostic accuracy parasitic diseases of the gastrointestinal tract |
Mushenok F.B. |
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Use of the opportunities of machine learning and artificial intelligence in the intensive care unit |
Napalkova S.A. |
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Possible applications of digital technologies in the preventive examination of schoolchildren in Samara |
Narkevich A.N. |
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Applications for storing patient’s medical data: systematic review |
Naygovzina N.B. |
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Simulation modelling in the management of a medical organization |
Nechaev N.B. |
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Experience of application artificial intelligence software on 800 thousand fluorographic studies |
Neusypin K.A. |
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Suppression of tumor growth using nonlinear control and self-organization algorithm |
Nikiforov I.A. |
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Method of mapping results in solving problems of medical microbiology |
Nikitin N.Yu. |
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Approaches to building radiology datasets |
Nikolaev A.P. |
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Evaluation of the effectiveness of the expert diagnostic system in acute mesenteric circulation disorders |
Nikolaeva O.G. |
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Hepatitis A waterborne outbreak model using agent-based approach and location intelligence to solve research and practical epidemiological problems |
Nikolaidi E.N. |
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Symptomcheckers for patients in the russian-speaking segment of the internet: comparative analysis |
Novitskiy V.O. |
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Decision support services for the diagnosis and treatment of diseases and their practical application on the example of CKD 5d |
Novitsky R.E. |
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Predictive analytics technologies in the management of the COVID 19 pandemic |
Novitsky V.O. |
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Design of information systems: example of creating a business process management system for control of regulations implementation at the department of nephrology and hemodialysis |
Nuzhdina V.A. |
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Moscow experiment on computer vision in radiology: involvement and participation of radiologists |
Obieedkov I.V. |
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Experience of remote monitoring in patients with chronic non-communicable diseases |
Ogryzko E.V. |
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History of the development of geoinformation systems in the world and their use in healthcare |
Okun D.B. |
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Knowledge base for the development of an intelligent assistant to a phthisiatrician for managing treatment process of patients with pulmonary tuberculosis |
Omeljanskaja O.V. |
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Omelyanskaya O.V. |
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Experience of application artificial intelligence software on 800 thousand fluorographic studies |
Onishchenko P.S. |
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Machine learning in the detection of coronary stenosis problem solving |
Orlov B.B. |
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Evaluation of the effectiveness of the expert diagnostic system in acute mesenteric circulation disorders |
Ostrizhnaya N.G. |
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Ovanesyan A.A. |
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Machine learning in the detection of coronary stenosis problem solving |
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Web-portal for monitoring patients after allogeneic hematopoietic stem cells transplantation |
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