Huber Nieto-Chaupis

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We present a scheme of eHealth based on teleconsults aimed to reduce unexpected events and complications in type-2 diabetes mellitus (DM-II). To this end, this study has considered the history of glucose tests taken as input inside a predictive mathematical scheme based on probabilities. The resulting output goes to a real-time monitoring system in order to(More)
From a sample of 1K type-2 diabetes cases, using Monte Carlo simulation and real data, we have estimated that a 2.5% might be potential candidates in being in the highest levels of progress of type-2 diabetes as manifested in nephropathy or necrosis, In addition, a 1 % of the sample might be highly sensitive to cardiovascular attack. The pattern of the(More)
In this paper, the pass of proteins like the albumin through the glomerular layers is modeled. Mainly, we have focused on the mathematical model based on physics which might explain the filtering of giant proteins like the albumin to the convoluted tubule as a relevant indicator of the beginning of the diabetes kidney disease (DKD). The main assumption of(More)
From a mathematical model given by the integral I<inf>m,n</inf>=&#x222B;P<inf>m</inf>(x)G(x)J<inf>n</inf>(x)dx where P<inf>m</inf>(x) a polynomial function, G(x) a Gaussian function, and J<inf>n</inf>(x) is the integer-order Bessel function, we have performed simulations to evaluate the possible scenario of outbreak of Zika virus (ZIKV) in a big city. Our(More)
We use computational simulation to identify, evaluate and relocate pregnant women in a possible scenario of attack of Zika virus (ZIKV) on Peri-urban zones of South American cities. The plausibility of this study is based on the following points: (i) existence of high population of pregnant women in Peri-urban areas of large cities, (ii) appropriate(More)
In this paper, the formulation of a stochastic model and its subsequent incorporation into a predictive control of a balls mill grinding circuit, is presented. The apparition of stochastic variables is a consequence of variables interaction by which is impossible to know a well-defined determinist mathematical methodology. Thus, the perceived dynamics is(More)
A full treatment of nonlinear systems such as the ball mill grinding circuit might include stochastic ingredients since the inclusion of several input as well output variables could interact among them, thereby producing a phenomenology which would differ notably of the ones as perceived traditionally. In effect, such interactions could not be described in(More)
In this paper, we explore the prospects of applicability for the sensing of proteins inside the framework of the IoB NT [1] for anticipating the diabetes kidney disease (DKD), from the identification of negatively charged proteins of albumin which are already passing the glomerular layers located in the kidney. The expected high efficiency of the interfaces(More)
We model the collapse of the probability of success call completion (PSCC) as a direct consequence of the saturation of calls and network overloading in times of local emergence events. For this end, it is assumed that the PSCC contemplates up to three stages during the action of handoff by a mobile end user. Concretely, we incorporate additional(More)