background: myocardial infarction (mi) occurs due to heart muscle death that costs like human life, which is higher than the treatment costs. this study aimed to present an mi prediction model using classification data mining methods, which consider the imbalance nature of the problem. methods: we enrolled 455 healthy and 295 myocardial infarction cases of visitors to shahid madani specialized ...

In supervised learning, classifiers range from simpler, more interpretable and generally less accurate ones (e.g., CART, C4.5, J48) to complex, neural networks, SVM). this tradeoff between interpretability accuracy, we propose a new classifier based on association rules, that is say, both easy interpret leading relevant accuracy. To illustrate proposal, its performance compared other widely use...

s Accepted or Presented since last Annual Report Prediction of MortalitySlaughter G, Kurtz Z, desJardins M, Hu PF, Mackenzie C, Stansbury L, Stein DM.2012 IEEE Biomedical Circuits & Systems conference, Nov 28-30, Taiwan Abstract— Real-time patient monitoring data collected over the course of trauma care are often large inquantities and require systematic representation that can comb...

Continuous advancement in the health sector is essential to reduce costs and increase efficiency quality of service. The widespread use ultrasonography (USG) has made it possible detect thyroid nodules with higher success rates. Some standard scoring systems have been developed score nodules. Thyroid are classification that determine risk cancer according ultrasonographic characteristics nodule...

Quality of Experience (QoE) has become an indispensable phenomenon in the ever-growing research facets of multimedia community. Context-aware QoE needs better framework to meet the demands of mobile video environments. The proliferation of various wireless technologies have endorsed wide spread usage of video applications such as 3D games and 3D movies. This work describes a novel machine learn...

The application of data mining algorithms requires the use of powerful software tools. As the number of available tools continues to grow, the choice of the most suitable tool becomes increasingly difficult. This paper present the basic data mining techniques i. e. , naive Bayesian tree, RIpple DOwn Rule, naive Bayes and decision tree algorithm J48 for classifying in medical databases. The goal...

We use a combination of image analysis techniques and a neural network to design a face detector. In this paper, we apply J48, Naïve Bayes, and Artificial Neural Network Machine Learning techniques in identifying smiles within a picture. We then take the same image analysis techniques and adapt it to also quantify faces in a picture, and then use different classifiers to determine if a smile is...