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Survey of energy drink consumption and adverse health effects in Lebanon
AbstractConsumption of energy is a national and international phenomenon that showed increase in market spread and profits from 1990 and made the emergence of many brands. Energy drinks are aggressively marketed with the claim that these products give an energy boost to improve physical and cognitive performance. However, studies supporting these claims are limited. The study examines the new phenomena of energy drinks among university students in Lebanon, based on the participants ’ personnel characteristics, university grade and the impact on health status. The study also determined whether high frequency of consumptio...
Source: Health Information Science and Systems - September 20, 2018 Category: Information Technology Source Type: research

Computer assisted system for precise lung surgery based on medical image computing and mixed reality
AbstractThe key of a surgical treatment for the lung cancer is to remove the infected part with the least excision and to retain most of the healthy lung tissue. The traditional computer surgery assisted system show that the patient ’s CT images or three-dimensional structure in the PC screen. This assisted system is not a real three-dimensional system and can’t display well the position of pulmonary vessels and trachea of the patients to surgeon. To solve the problem, a computer assisted system for precise lung surgery for precise surgery based on medical image and VR is developed in this paper. Firstly, the regional ...
Source: Health Information Science and Systems - September 18, 2018 Category: Information Technology Source Type: research

Emotion classification using flexible analytic wavelet transform for electroencephalogram signals
AbstractEmotion based brain computer system finds applications for impaired people to communicate with surroundings. In this paper, electroencephalogram (EEG) database of four emotions (happy, fear, sad, and relax) is recorded and flexible analytic wavelet transform (FAWT) is proposed for the emotion classification. FAWT analyzes the EEG signal into sub-bands and statistical measures are computed from the sub-bands for extraction of emotion specific information. The emotion classification performance of sub-band wise extracted features is examined over the variants of k-nearest-neighbor (KNN) classifier. The weighted-KNN p...
Source: Health Information Science and Systems - September 18, 2018 Category: Information Technology Source Type: research

Optimizing spatial healthcare assets with Internet of Things
AbstractSix percent of the total cost of healthcare delivery in Australia is from buying, building and maintaining physical assets. Current practice does not measure the efficient use of existing clinical spaces prior to making funding decisions for service expansion, remodeling or relocation. Healthcare service delivery can be increased through existing assets by optimizing the use of clinical space. The wait times for healthcare service consumers and capital expenditure pressures could be reduced, which would result in increased funds available for frontline services. Sensor technology has been used to study aspects of t...
Source: Health Information Science and Systems - September 18, 2018 Category: Information Technology Source Type: research

The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data
AbstractHealthcare in the United States is a critical aspect of most people ’s lives, particularly for the aging demographic. This rising elderly population continues to demand more cost-effective healthcare programs. Medicare is a vital program serving the needs of the elderly in the United States. The growing number of Medicare beneficiaries, along with the enormous vol ume of money in the healthcare industry, increases the appeal for, and risk of, fraud. In this paper, we focus on the detection of Medicare Part B provider fraud which involves fraudulent activities, such as patient abuse or neglect and billing for serv...
Source: Health Information Science and Systems - September 3, 2018 Category: Information Technology Source Type: research

Depression detection from social network data using machine learning techniques
ConclusionsMachine learning techniques identify high quality solutions of mental health problems among Facebook users. (Source: Health Information Science and Systems)
Source: Health Information Science and Systems - August 27, 2018 Category: Information Technology Source Type: research

Comparative study of multiclass classification methods on light microscopic images for hepatic schistosomiasis fibrosis diagnosis
AbstractHepatic schistosomiasis is a prolonged disease resulting mainly from the solvable egg antigen of schistosomiasis infection due to the host ’s granulomatous cell-mediated immune. Irreversible fibrosis results from the progress of the schistosomal hepatopathy. Sensitive diagnosis of this disease is based on the investigation of the microscopy images, liver tissues, and egg identification. Early diagnosis of schistosomiasis at its initi al infection stage is vital to avoid egg-induced irreparable pathological reactions. Typically, there are several classification approaches that can be used for liver fibrosis stagin...
Source: Health Information Science and Systems - August 20, 2018 Category: Information Technology Source Type: research

A dynamical model for the number of infertile couples
AbstractIn this paper a dynamic model is suggested in order to predict treatment results for infertility of couples. For this purpose, five basic groups of couples are examined. These groups are: susceptible couples, patient couples, couples under treatment taking medicine only, those under treatment using surgery and cured ones. The main aim is to find an asymptotically stable free equilibrium point for this model. The method benefits from scrutinizing the dynamical model deeply. We show that there is another equilibrium point that is not signed stable. In addition, we solve this model numerically via Rung –Kutta method...
Source: Health Information Science and Systems - August 18, 2018 Category: Information Technology Source Type: research