INTRODUCTION The aim of this study was to build a random forest classifier to improve the diagnostic accuracy in differentiating dementia with Lewy bodies (DLB) from Alzheimer's disease (AD) and to quantify the relevance of multimodal diagnostic measures, with a focus on electroencephalography (EEG). METHODS A total of 66 DLB, 66 AD patients, and 66 controls were selected from the Amsterdam D...

This paper presents a pattern recognition-based scheme for detection of islanding conditions in synchronous- based distributed generation (DG) systems. The main idea behind the proposed scheme is the use of spatial features of system parameters such as the frequency, magnitude of positive sequence voltage, etc. In this study, the system parameters sampled at the point of common coupling (PCC) w...

technology selection is an important part of management of technology. recently karsak and ahiska (2005) proposed a novel common weight multiple criteria decision making (mcdm) methodology for selection of the best advanced manufacturing technology (amt) candidates based on a number of attributes. however, amin et al. (2006), by means of a numerical example demonstrated the convergence difficul...

this study evaluates the discriminative power of sequential spectrum analysis of the short-term electrocardiogram (ecg) time series in separating normal and subjects with life threatening arrhythmias like, ventricular tachycardia/fibrillation (vt/vf). the raw ecg time series is transformed into a series of binary symbols and the binary occupancy or relative distribution of mono-sequences (i.e. ...

The aim of the present study was to design, implement, and evaluate a software system for discriminating between metastases, meningiomas, and gliomas on MRI. The proposed classifier is a modified probabilistic neural network (PNN), incorporating a second degree least squares features transformation (LSFT) into the PNN classifier. Thirty-six textural features were extracted from each one of 75 T...

This study examined differences in personality in the earliest stages of dementia of the Alzheimer type (DAT) relative to healthy aging, and the power of personality in discriminating healthy aging from early-stage DAT. Four groups of participants (middle-aged controls, older controls, persons with very mild DAT, and persons with mild DAT) and their families were administered Costa and McCrae's...

The insurance industry is built on risk classification, grouping insureds into homogeneous classes. Through actions such as underwriting, pricing, and so forth, it differentiates, or discriminates, among insureds. Actuaries have responsibility for pricing transfers are intimately involved in other aspects of company a keen interest whether not discrimination appropriate from both societal viewp...

Retrieving the relevant information from noisy environmental data is a difficult task, which requires advanced filtering techniques. This paper presents a method for extracting representative prototypes from a set of data containing daily and seasonal fluctuations. It is based on a combination of wavelet filtering and fuzzy clustering. Discriminating features are extracted with a Fuzzy Maximum ...

Predicting the success of literary works is a curious question among publishers and aspiring writers alike. We examine the quantitative connection, if any, between writing style and successful literature. Based on novels over several different genres, we probe the predictive power of statistical stylometry in discriminating successful literary works, and identify characteristic stylistic elemen...