A remarkable growth and heart disease and the effects of their duties and high costs on the community, has led to the medical community seeks to plans for further investigation, prevention, early detection and treatment to be effective. For the construction of the regulatory models of different techniques, such as the tree CART decision, k nearest neighbor and improved nearest neighbor was used...

We applied inductive classi cation techniques to data collected in a Boeing plant with the goal of uncovering possible aws in the manufacturing process. This application led us to explore two aspects of classical decision-tree induction: (1) Preprocessing and postprocessing and (2) brute-force induction. For preprocessing and postprocessing, much of our e ort was focused on the pre-processing o...

We applied inductive classi cation techniques to data collected in a Boeing plant with the goal of uncovering possible aws in the manufacturing process. This application led us to explore two aspects of classical decision-tree induction: Preand Post-processing: much of our e ort was focused on the pre-processing of raw data to make it suitable for induction and the post-processing of learned ru...

Abstract Wart is a disease caused by human papillomavirus with common and plantar warts as general forms. Commonly used methods to treat are immunotherapy cryotherapy. The selection of proper treatment vital cure warts. This paper establishes classification regression tree (CART) model based on particle swarm optimisation help patients choose between proposed can accurately predict the response...

Background and Objectives: Arteriovenous fistula is a popular vascular access method for surgical treatment of hemodialysis patients. The method, however, is associated with a high rate of early failure varying in the range of 20-60%. Predicting early Arteriovenous fistula failure and its risk factors can help reduce its incidence, its hospitalization rate, and associated costs. In this study, ...

decision trees as one of the data mining techniques, is used in credit scoring of bank customers. the main problem is the construction of decision trees in that they can classify customers optimally. this paper proposes an appropriate model based on genetic algorithm for credit scoring of banks customers in order to offer credit facilities to each class. genetic algorithm can help in credit sco...

Epilepsy is a global disease with considerable incidence due to recurrent unprovoked seizures. These seizures can be noninvasively diagnosed using electroencephalogram (EEG), a measure of neuronal electrical activity in brain recorded along scalp. EEG is highly nonlinear, nonstationary and non-Gaussian in nature. Nonlinear adaptive models such as empirical mode decomposition (EMD) provide intui...

It is very common in medical studies for a patient to experience more than one event rather of interest. This led exposing an individual multiple risks and practitioners need account these concerning some prognostic factors. There are many methods dealing with events survival data classically, however, break down when considering the top-down effect factors concurrently correlated (competing ri...

The fast growth of IoT in wearable devices, smart sensors, and home appliances will affect every aspect our lives. With the rapid development economic globalization, how to integrate science technology into decision-making is focus current research field, this paper precisely solve problem. This proposes a global market forecasting system based on Internet Things machine learning. Using wireles...