eHealth Services Based on Monte Carlo Algorithms to Anticipate and Lessen the Progress of Type-2 Diabetes

2018 ◽  
pp. 99-110
Author(s):  
Huber Nieto-Chaupis
Keyword(s):  
Type 2 Diabetes ◽  
Monte Carlo ◽  
Monte Carlo Algorithms ◽  
Ehealth Services

scholarly journals Prediction of prevalence of type 2 diabetes in Rwanda using the metropolis-hasting sampling

2021 ◽  
Vol 21 (2) ◽  
pp. 702-709
Author(s):  
Angelique Dukunde ◽  
Jean Marie Ntaganda ◽  
Juma Kasozi ◽  
Joseph Nzabanita
Keyword(s):  
Physical Activity ◽  
Mathematical Model ◽  
Type 2 Diabetes ◽  
Monte Carlo ◽  
Transition Matrix ◽  
Decision Makers ◽  
World Health ◽  
Health Decision ◽  
The Masses

In this work, we predict the prevalence of type 2 diabetes among adult Rwandan people. We used the Metropolis-Hasting method that involved calculating the metropolis ratio. The data are those reported by World Health Organiation in 2015. Considering Suffering from diabetes, Overweight, Obesity, Dead and other subject as states of mathematical model, the transition matrix whose elements are probabilities is generated using Metropolis-Hasting sampling. The numerical results show that the prevalence of type 2 diabetes increases from 2.8% in 2015 to reach 12.65% in 2020 and to 22.59% in 2025. Therefore, this indicates the urgent need of prevention by Rwandan health decision makers who have to play their crucial role in encouraging for example physical activity, regular checkups and sensitization of the masses. Keywords: Non communicable diseases; type 2 diabetes; Markov Chain Monte Carlo method; Metropolis-Hasting method; Transition probabilities.rds: 

scholarly journals PDB8 ECONOMIC COMPARISON OF SIX FIRST-LINE DRUG STRATEGIES IN TYPE 2 DIABETES USING A MONTE CARLO SIMULATION MODEL

2002 ◽  
Vol 5 (3) ◽  
pp. 205
Author(s):  
JM Stephens ◽  
JW Ramsdell ◽  
S Braunstein ◽  
CF Bell ◽  
MF Botteman ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Simulation Model ◽  
First Line ◽  
Economic Comparison ◽  
Line Drug ◽  
Monte Carlo Simulation Model

scholarly journals Perceptions of Persons With Type 2 Diabetes Treated in Swedish Primary Health Care: Qualitative Study on Using eHealth Services for Self-Management Support (Preprint)

2017 ◽  
Author(s):  
Ulrika Öberg ◽  
Ulf Isaksson ◽  
Lena Jutterström ◽  
Carl Johan Orre ◽  
Åsa Hörnsten
Keyword(s):  
Type 2 Diabetes ◽  
Health Care ◽  
Primary Health Care ◽  
Health Services ◽  
Digital Health ◽  
Self Management ◽  
Management Support ◽  
Primary Health ◽  
Ehealth Services

BACKGROUND Digital health services are increasing rapidly worldwide. Strategies to involve patients in self-monitoring of type 2 diabetes (T2D) on a daily basis is of crucial importance, and there is a need to optimize the delivery of care such as self-management support. Digitalized solutions have the potential to modify and personalize the way in which people use primary health services, both by increasing access to information and providing other forms of support at a distance. It is a challenge to integrate core values of person-centered care into digitalized health care services. OBJECTIVE The objective of this study was to describe perceptions of using electronic health (eHealth) services and related technologies for self-management support among people with T2D treated in Swedish primary health care. METHODS This is a qualitative study based on interviews analyzed using qualitative content analysis conducted among people diagnosed with T2D. RESULTS Findings suggest that the participants had mixed feelings regarding the use of digital health services for self-management support. They experienced potentials such as increased involvement, empowerment, and security, as well as concerns such as ambivalence and uncertainty. CONCLUSIONS Digital health services for self-management are easily accessible and have the potential to reach a wide population. However, targeted training to increase digital skills is required, and personalized devices must be adapted and become more person-centered to improve patients’ involvement in their own care.

Monte Carlo Algorithms for Moments of Transition Arrays

1988 ◽  
Vol 102 ◽  
pp. 79-81
Author(s):  
A. Goldberg ◽  
S.D. Bloom
Keyword(s):  
Monte Carlo ◽  
State Vector ◽  
Basis Vector ◽  
Collective State ◽  
Dispersion Characteristics ◽  
Dipole Strength ◽  
The Third ◽  
Monte Carlo Algorithms ◽  
Third Moment ◽  
Very High

AbstractClosed expressions for the first, second, and (in some cases) the third moment of atomic transition arrays now exist. Recently a method has been developed for getting to very high moments (up to the 12th and beyond) in cases where a “collective” state-vector (i.e. a state-vector containing the entire electric dipole strength) can be created from each eigenstate in the parent configuration. Both of these approaches give exact results. Herein we describe astatistical(or Monte Carlo) approach which requires onlyonerepresentative state-vector |RV> for the entire parent manifold to get estimates of transition moments of high order. The representation is achieved through the random amplitudes associated with each basis vector making up |RV>. This also gives rise to the dispersion characterizing the method, which has been applied to a system (in the M shell) with≈250,000 lines where we have calculated up to the 5th moment. It turns out that the dispersion in the moments decreases with the size of the manifold, making its application to very big systems statistically advantageous. A discussion of the method and these dispersion characteristics will be presented.

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