to make the concept of centrality more precise. 3 Consider the network illustrated in In graph theory, a network such as the one illustrated in 6 Networks are not static. Relationships may change, and entry to and exit from the network may change each actor's centrality. We therefore construct our

transactions below agreedupon amoun'ts, the credit card associations provide "stand-in" authorization in order to help reduce overall transaction traffic on the communications network. These transactions are transmitted electronically to the bank at day's end.) The FDS scoring functions

Increasing demand for digitalization of Electronic Health Records results in increased demand for effective data mining solutions. In this study we enhance the classical Support Vector Machine-Recursive Feature Elimination (SVM-RFE) approach to optimally estimate disease risk from hospital

The authors developed and cross-validated prediction models for newly diagnosed cases of liver disorders by using logistic regression and neural networks. Computerized files of health care encounters from the Fallon Community Health Plan were used to identify 1,674 subjects who had had liver

and expedient way to measure the accessibility of electrolytes in the water. There are swayed health effects on human life through these electrolytes, like disorder of salt and water balance in infants, heart patients, individuals with high blood pressure, and renal diseases. Salty taste is one of the aesthetic

data. We have designed a method of predicting phage structural protein sequences that uses Artificial Neural Networks (ANNs). First, we trained ANNs to classify viral structural proteins using amino acid frequency; these correctly classify a large fraction of test cases with a high degree

. In this paper by using the patient’s medical record, an ill-defined classification is used at the early stage of the patient to diagnose the cardiac disease. Based on the result the patients are advised to keep the sensor to predict them. Cardiac disease is a disease that affects on the operation of heart

As the number of the elderly population affected by Alzheimer’s disease (AD) rises rapidly, the need to find an accurate, inexpensive and non-intrusive diagnostic procedure that can be made available to community healthcare providers is becoming an increasingly urgent public health concern. Several

Background: hip fractures result in a significant burden to the patient, their caregivers and the health care system. Patients with Alzheimer’s disease (AD) have a higher incidence of hip fracture compared with other older people without AD, although it is not clear if AD is an independent risk

The early detection of Alzheimer’s disease (AD) is an important challenge. In this paper, we propose a novel method for early detection of AD using only electroencephalographic (EEG) recordings for patients with Mild Cognitive Impairment (MCI) without any clinical symptoms of the disease who later