Geodesic
Modeling of Health Evaluations Scale of Patients with Chronic Heart Failure Based on Telemonitoring Data
Matematičeskaâ fizika i kompʹûternoe modelirovanie, no. 6 (2016), pp. 155-165.

Voir la notice de l'article provenant de la source Math-Net.Ru

In this article the monitoring optimization issue of patients with chronic heart failure is considered. As such optimization is proposed to develop evaluation system, that will help patients obtain opinion of their health without the participation of doctors, and for doctors will give a recommendation tool to help in patient's maintenance. In the proposed system, the conclusion about patient health under a separate criterion of telemonitoring data is evaluated from $0$ to $10$. $3$ evaluation criteria are defined: WEIGHT, PULSE, BLOOD PRESSURE. In the evaluation by criterion PULSE affects $3$ parameters: the maximum and the average of patient heart rate per week, the patient's concomitant diseases (arrhythmia, a problem in the lungs); in the evaluation by criterion WEIGHT—$2$ parameters: body mass index (BMI) and weight gain per week; in the evaluation by criterion BLOOD PRESSURE—$4$ parameters: systolic and diastolic blood pressure, age and comorbidities (diabetes, kidney failure, the presence of the previously heavy hospitalizations due to heart problems). Further, the article demonstrates the evaluation forms for each of the criteria that have been filled by cardiologists. Data from these forms became the basis of expert evaluations database. Since this database was compiled only for certain cases, it was proposed interpolate the received data on particular cases. For criteria WEIGHT and PULSE used bicubic interpolation, for criterion BLOOD PRESSURE—trilinear interpolation. At the end of the interpolation was obtained ready-made set of scales to evaluate patient health based to three criteria. To demonstrate the possibility of evaluations system of patient health was prepared questionnaire that the patient can fill out and get a conclusion of their health. The results disclose a potential of automated conclusions about patient health based on expert evaluations database. In conclusion, the article proposed the expansion of criteria list and the use of final system in a remote patient monitoring platform.
Keywords: expert system, telemonitoring, chronic heart failure.
Mots-clés : evaluations scale, interpolation 
@article{VVGUM_2016_6_a14,
     author = {A. Yu. Stolyarov and A. A. Gr{\cyre}b{\cyre}nnikova},
     title = {Modeling of {Health} {Evaluations} {Scale} of {Patients} with {Chronic} {Heart} {Failure} {Based} on {Telemonitoring} {Data}},
     journal = {Matemati\v{c}eska\^a fizika i kompʹ\^uternoe modelirovanie},
     pages = {155--165},
     publisher = {mathdoc},
     number = {6},
     year = {2016},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VVGUM_2016_6_a14/}
}
TY  - JOUR
AU  - A. Yu. Stolyarov
AU  - A. A. Grеbеnnikova
TI  - Modeling of Health Evaluations Scale of Patients with Chronic Heart Failure Based on Telemonitoring Data
JO  - Matematičeskaâ fizika i kompʹûternoe modelirovanie
PY  - 2016
SP  - 155
EP  - 165
IS  - 6
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/VVGUM_2016_6_a14/
LA  - ru
ID  - VVGUM_2016_6_a14
ER  - 
%0 Journal Article
%A A. Yu. Stolyarov
%A A. A. Grеbеnnikova
%T Modeling of Health Evaluations Scale of Patients with Chronic Heart Failure Based on Telemonitoring Data
%J Matematičeskaâ fizika i kompʹûternoe modelirovanie
%D 2016
%P 155-165
%N 6
%I mathdoc
%U http://geodesic.mathdoc.fr/item/VVGUM_2016_6_a14/
%G ru
%F VVGUM_2016_6_a14
A. Yu. Stolyarov; A. A. Grеbеnnikova. Modeling of Health Evaluations Scale of Patients with Chronic Heart Failure Based on Telemonitoring Data. Matematičeskaâ fizika i kompʹûternoe modelirovanie, no. 6 (2016), pp. 155-165. http://geodesic.mathdoc.fr/item/VVGUM_2016_6_a14/

[1] N.\;N. Kalitkin, Computational Methods, BKhV-Peterburg Publ., SPb., 2011, 511 pp.

[2] V.\;Yu. Mareev, F.\;T. Ageev, G.\;P. Arutyunov, A.\;V. Koroteev, Yu.\;V. Mareev, A.\;G. Ovchinnikov, “National Recommendations SSHF, RCS and RSMST for the Diagnosis and Treatment of CHF (Fourth Revision)”, Zhurnal Serdechnaya Nedostatochnost, 14:7 (81) (2013), 379–472

[3] A.\;N. Prodeus, E.\;N. Zakhrabova, Expert Systems in Medicine, Vek Publ., Kiev, 1998, 320 pp.