Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Computational methods”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,099 records · Page 61Linked to original sources
PubMedDate not supplied

[A method for computer determination of the interval for safe changes in cardiostimulation parameters].

Practical use of studies dealing with the simulation of chaotic electric cardiac signal changes under different cardiac pacing conditions is considered. The results of experimental studies are presented. The facts given in the paper lead to the conclusion that it is practically expedient to use the procedure for computer-aided determination of mathematical models, which is based on the mathematical simulation of relationships between the parameters of pacing and those determine the likelihood of chaotic electric cardiac signal changes with the specific values of a pacing range and rates.

Cardiac Pacing, Artificial↗
PubMed2005

Improving model robustness with bootstrapping -- application to optimal discriminant analysis for ordinal responses (ODAO).

OBJECTIVE: Recent results published by Coste et al. in discriminant analysis with ordinal responses showed the superiority of optimal discriminating analysis for ordinal responses (ODAO) both in terms of classification and simplicity of implementation compared to classic methods (Fisher's discrimination, logistic regression) applied to medical data (prognostics of burns) and to simulated data. Nevertheless, the solutions obtained by ODAO may be sensitive to re-sampling (i.e the estimated coefficients by ODAO may show excessive sensitivity to the training sample). This study proposes some solutions to control the fluctuations of sampling and to ensure model stability. METHODS: We used intensive computational methods and bootstrapping, at the outset of model building in order to reduce the sampling variability of estimated coefficients. Thus, the estimation of the coefficients was not based on the minimization of a classification criterion of the training sample, but on the minimization of an aggregate criterion of bootstrapped replications of a classification criterion. Five aggregate criteria were studied. RESULTS: The improvement in terms of robustness appeared in 30% of the test cases with moderate training sample size and 55% of those with small training sample size. CONCLUSION: Simulated test cases showed that bootstrapping can help construct more robust models in difficult classification situations and small training samples which are particularly frequent.

Burns↗
PubMed1992

CHELATOR: an improved method for computing metal ion concentrations in physiological solutions.

An algorithm is presented for the calculation of metal ion concentrations from given total metal concentrations (and vice versa) in physiological media containing metal-chelating compounds. In such media, conditions differ from those used for stability constant determination of metal-chelator equilibria; therefore calculated metal ion concentrations are incorrect. We recompute stability constants to reflect the effects of ionic strength and temperature of physiological solutions. Twelve different equilibria can be considered per metal-chelator pair. The computer program also calculates the contribution of ionized species of metals, chelator, complexes and pH buffers to ionic strength. Measurements with a Ca-selective electrode and with fura-2 show that calculated ionic Ca2+ concentrations are correct from 10 nM up to the millimolar range. The importance of the correct calculation of metal ion concentrations in physiological experiments is demonstrated by data, and derived kinetic parameters, on Na+/Ca2+ exchange and the ATP-dependent Ca2+ pump of enterocyte plasma membrane vesicles. The program is written in Turbo Pascal and will run on IBM-compatible computers. It is menu-driven and supports the use of a Microsoft mouse.

Algorithms↗
PubMedDate not supplied

[A study of the change in conductivity of the neuronal membrane caused by a generator potential using a method of computer modeling].

Injection of cAMP induces in snail neurons generator potential, which is related to an increase of sodium and decrease of potassium permeability of the neuron outer membrane. A model is proposed which takes into account cAMP diffusion inside the neuron from the injection place and interaction of these molecules with the intercellular system controlling permeability of the outer membrane. Resulting impulse generation induces calcium ions current through the outer membrane. The model also considers calcium diffusion toward cAMP and its effect on the rate of the enzyme work destroying cAMP. Agreement between the calculations of ionic current I(t) and the experiment permits determination of the model parameters and calculation of the observed change of time distribution of nerve impulses when calcium input is significant.

Animals↗