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Therapy planning is a very complex task, being the patient's therapeutic response aaected by several sources of uncertainty. Furthermore , the modelling of a patient's evolution is frequently hampered by the incompleteness of the medical knowledge; it is hence often not possible to derive a mathematical model that is able to take into account the(More)
The paper deals with the problem of reconstructing a continuous one-dimensional function from discrete noisy samples. The measurements may also be indirect in the sense that the samples may be the output of a linear operator applied to the function (linear inverse problem, deconvolution). In some cases the linear operator could even contain unknown(More)
The minimal model of glucose kinetics, in conjunction with an insulin-modified intravenous glucose tolerance test, is widely used to estimate insulin sensitivity (S(I)). Parameter estimation usually resorts to nonlinear least squares (NLS), which provides a point estimate, and its precision is expressed as a standard deviation. Applied to type 2 diabetic(More)
The problem of formulating plans under uncertainty and coping with dynamic decision problems is a major task of both artificial intelligence and control theory applications in medicine. In this paper we will describe a software package, called DT-Planner, designed to represent and solve dynamic decision problems that can be modelled as Markov decision(More)
This paper describes the application of a novel Bayesian estimation technique to extract the structural components, i.e., trend and daily patterns, from blood glucose level time series coming from home monitoring of insulin dependent diabetes mellitus patients. The problem is formulated through a set of stochastic equations, and is solved in a Bayesian(More)
OBJECTIVE To examine the degree to which South African physicians use similar treatment guidelines in their prescription of antipsychotic medication. METHOD Data on the prescriptions for Xhosa patients with schizophrenia and schizoaffective disorder were retrospectively examined to investigate differences between three catchment areas in the Western Cape,(More)
BACKGROUND Mass spectrometry is an essential technique in proteomics both to identify the proteins of a biological sample and to compare proteomic profiles of different samples. In both cases, the main phase of the data analysis is the procedure to extract the significant features from a mass spectrum. Its final output is the so-called peak list which(More)
Kisspeptins have recently emerged as essential regulators of gonadotropin secretion and puberty onset. These functions are primarily conducted by stimulation of hypothalamic gonadotropin-releasing hormone (GnRH) secretion. However, relevant aspects of KiSS-1 physiology, including the ontogeny and major signaling systems of its stimulatory action, remain to(More)