Quantitative Methods for Assessing Functional Reserves in Predicting the Effectiveness of Medical Rehabilitation of Patients with Diabetes

Authors

Kurnikova I. ¹ , Buturlina S. ¹ , Kislaya S. ¹ , Sargar R. ¹ , Mukhametgaleeva E.²

Journal

ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING

Language

English

Pages

459-461

Status

Published

Volume

1152 AISC

Year

2020

Organizations

¹ RUDN University
² Main Burean of Medical-Social Examination in Udmurt Republic (FB MSE UR)

Date of creation

02.11.2020

Date of change

02.11.2020

Short link

https://repository.rudn.ru/en/records/article/record/68973/

POSTER: INTENSIVE LEARNING TECHNOLOGIES AS A TREND IN EDUCATION DIGITALIZATION

Article

Aksyanova A.V., Barabanova S.V., Kraysman N.V., Nikonova N.V., Nasonkin V.V.

ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING. Vol. 1134 AISC. 2020. P. 644-649

IMPACT OF SEX-SPECIFIC TARGET DOSE IN CHRONIC HEART FAILURE PATIENTS WITH REDUCED EJECTION FRACTION

Article

Veenis J.F., Brugts J.J., Rocca H.P.B.L., Linssen G.C.M., Erol-Yilmaz A., Pronk A.C.B., Engelen D.J.M., Van Tooren R.M., Koornstra-Wortel H.J.J., De Boer R.A., Van der Meer P., Hoes A.W.

European Journal of Preventive Cardiology. 2020.

Quantitative Methods for Assessing Functional Reserves in Predicting the Effectiveness of Medical Rehabilitation of Patients with Diabetes

Other records

POSTER: INTENSIVE LEARNING TECHNOLOGIES AS A TREND IN EDUCATION DIGITALIZATION

IMPACT OF SEX-SPECIFIC TARGET DOSE IN CHRONIC HEART FAILURE PATIENTS WITH REDUCED EJECTION FRACTION