ABSTRACT: Quantitative structure-activity relationship (QSAR) study on the piperidone-grafted mono- and bis-spirooxindole-hexahydropyrrolizines as potent butyrylcholinestrase (BuChE) inhibitors were carried out using statistical methods, molecular dynamics and molecular docking simulation. QSAR methodologies, including classification and regression tree (CART), multiple linear regression (MLR),...

Malaria is a disease caused by the Plasmodium parasite that transmitted female Anopheles mosquitoes. can become dangerous if late have medical treatment. The treatment happened because of misdiagnosis and lack staff, especially in countryside. This problem cause severe malaria has complications. study creates system prediction to classify using Classification Regression Tree (CART) method proba...

Sentiment classification is a special task of text classification whose objective is to classify a text according to the sentimental polarities of opinions it contains e.g., favorable or unfavorable, positive or negative. This is especially a problem for the tweets sentiment analysis. Since the topics in Twitter are very diverse, it is impossible to train a universal classifier for all topics. ...

In certain research studies development of a reliable decision rule, which can be used to classify new observations into some predefined categories, plays an important role. The existing traditional statistical methods are inappropriate to use in certain specific situations, or of limited utility, in addressing these types of classification problems. There are a number of reasons for these diff...

According to the forensic statistics, in Iran, 26 percent of those killed in traffic accidents are motorcyclists in recent years. Thus, it is necessary to investigate the causes of motorcycle accidents because of the high number of motorcyclist casualties. Motorcyclists' dangerous behaviors are among the causes of events that are discussed in this study. Traffic signs have the important role of...

results overall, the prevalence of unwanted pregnancies was 32.3%. the performance of the models based on the area under the roc curve as the indicator was as follows: artificial neural networks (0.741), decision tree (0.731), and logistic regression (0.712). the highest sensitivity level belonged to the decision tree (73.5%), and the highest specificity level belonged to the artificial neural ...