Medical Instrument-Computer system for calculating the fatal outcome of cardiovascular diseases system for calculating the outcome of cardiovascular diseases

Плехова, Н. Г.; Grunberg, K.V.; Dolzhikov, S. V.; Невзорова, В. А.; Родионова, Л. В.

doi:10.1109/rpc.2017.8168085

Cited by 4 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also it was shown that the transformation of regression model development cardiovascular diseases difficult for apply in practical medicine into a more simplified version of scale was shown. This included the determination of disease predictors; categorization and inclusion in the regression model with optimal scaling and coefficients for subsequent calculation of importance; plotting regression dependence of theoretical probability investigated variable; selection of threshold value [36,37].…”

Section: Telemedicine Diagnosismentioning

confidence: 99%

“…The best results depend on individual risk factor assessment such as late COPD stage, comorbidities, severe respiratory failure required ventilation support, severe exacerbations with hospitalization, and lower functional exercise capacity. Today's task is to solve the problem of guideline development in according to evidence based recommendation for different rehabilitation programs to different patients and for standardization of patient's health status assessment and classification as well as standardization of rehabilitation approach [37,[70][71][72][73].…”

Section: N O N -C O M M E R C I a L U S E O N L Ymentioning

confidence: 99%

See 1 more Smart Citation

Scope and new horizons for implementation of m-Health/e-Health services in pulmonology in 2019

Mishlanov

Chuchalin²,

Chereshnev³

et al. 2019

Monaldi Arch Chest Dis

View full text Add to dashboard Cite

The reason for this review based on the results of many meta- analyses is the great assessed difference in the methods of most studies in e-Health, telemedicine and tele-rehabilitation. It consists of different understanding of new terms, using different hard- and software, including criteria, different methodology of patient’s treatment and its evaluation. This status suggests that first of all m-Health/e-Health requires a unique ontology of terms using and methodology of studies comparing. In this review we try to describe shortly the most significant points of modern e-Health field of medicine. The basic parts include methodology of review formation, tele-communication implementation results, tele-education, interactive questioning, tele-consultation, telemedicine diagnosis, tele-monitoring, rehabilitation and tele-rehabilitation, gamification, acceptability of mobile electronic devices and software in e-Health and planning studies. At the end of the review the new ontological structure of digital medicine is presented.

show abstract

Section: Telemedicine Diagnosismentioning

confidence: 99%

Section: N O N -C O M M E R C I a L U S E O N L Ymentioning

confidence: 99%