Drug-related problems have become a growing concern in clinical medicine. Particularly prevalent are problems surrounding suband over-therapeutic doses of high-alert medications. In this study, we use a model-tree based regression (namely M5) and an SVM technique to build systems that predict the regimen adequacy of vancomycin, a glycopeptide antimicrobial antibiotic effective for Gram-positive...

the purpose of this study was to evaluate three models of artificial neural networks (ann), regression trees (m5) and hargrives-samani (hg) in estimation of reference evapotranspiration. for this purpose was used climate information of sistan va baloochestan, kerman, yazd and khorasan jonoobi from 1998 to 2008. in addition to effect of wind (u) on evapotranspiration (et0), estimation of et0 was...

Evaporation is a fundamental parameter in the hydrological cycle. This study examines the performance of M5model tree and artificial neural network (ANN) models in estimating potential evapotranspiration calculated byPenman- Monteith and Hargreaves- Samani equations. Daily weather data from two meteorological stations in asemi-arid climate of Iran, namely Kerman and Zahedan, were collected duri...

Run off resulted from rainfall is the main way of receiving water in most parts of the World. Therefore, prediction of runoff volume resulted from rainfall is getting more and more important in control, harvesting and management of surface water. In this research a number of machine learning and data mining methods including support vector machines, regression trees (CART algorithm), model tree...

In this study, the viability of radial M5 model tree (RM5Tree) is investigated in prediction and estimation daily streamflow a cold climate. The RM5Tree compared with (M5Tree), artificial neural networks (ANN), basis function (RBFNN), multivariate adaptive regression spline (MARS) using data two stations from Sweden. accuracy methods assessed based on root mean square errors (RMSE), absolute (M...

Predicting a class with continuous numeric value encounters many problems when applying machine learning to the data. Only few machine-learning techniques can do this, but it is still considered one of most complex tasks perform. In this study, we demonstrate called M5 Model Tree, which handle This technique stepwise algorithm and uses linear functions at leaf nodes any decision tree inducer (l...

PURPOSE Muscarinic receptors are known to regulate several important physiologic processes in the eye. Antagonists to these receptors such as atropine and pirenzepine are effective at stopping the excessive ocular growth that results in myopia. However, their site of action is unknown. This study details ocular muscarinic subtype expression within a well documented model of eye growth and inves...

We analyze GIT stability of nets of quadrics in P4 up to projective equivalence. Since a general net of quadrics defines a canonically embedded smooth curve of genus 5, the resulting quotient M G := G(3, 15)ss//SL(5) gives a birational model of M5. We study the geometry of the associated contraction f : M5 99K M G , and prove that f is the final step in the log minimal model program for M5.