Objective(s): This study aims to assess health related quality of life among Iraqi patients with chronic viral hepatitis
B and C also to find out the relationship between health related quality of life and patients demographic
characteristic and to design a new measurement scale for assessing QoL among viral hepatitis B and C patients
which can be suitable to be adopted for Iraqi patients
Methodology: A descriptive quantitative study is carried out at Gastroenterology and Hepatology Teaching
Hospital from February, 1st, 2011 to August 30th 2011, Anon probability (purposive sample) of (100) chronic viral
hepatitis B and C persons , who were clients of Gastroenterology and Hepatology Teaching Hospital / outpatient
clinic for follow up. The data were collected through the use of semi-constructed questionnaire, which consists of
three parts (1) demographic data form that contains (10) items (2) form medical information that contains of (7)
items and (3) main domains of the quality of life which contains six main domains: physical, psychological, level of
independence, social, environmental, spiritual domain. Content validity was determined by a panel of experts in
different specialties. Reliability of instrument was determined by the use of test–retest approach through the pilot
study. The data were described statistically and analyzed through use of the descriptive and inferential statistical
analysis procedures.
Results: The findings of the presented study indicate that the chronic viral hepatitis B and C affect the quality of
life domains. There is a non-significant relationship between socio-demographic characteristic and quality of life
domains. The study concludes that the chronic viral hepatitis B and C are most common occurring among persons
in urban residential area than in those in rural. chronic viral hepatitis B and C are most common in male than in
females, chronic viral hepatitis B and C are most common in married than in unmarried, chronic viral hepatitis B &
C are most common in non-drink alcohol than in drink, chronic viral hepatitis B and C are most common in low
level education than other, chronic viral hepatitis B and C are most common in low socioeconomic status.
Recommendations : the study recommended An intensive comprehensive wide population-based ( national level)
studies could be conducted to assess the chronic viral hepatitis B and C patients quality of life also Health oriented
mass media approach should be employed by the Ministry of Health to increase population knowledge and
awareness about the route of transmission and risk factor of chronic viral hepatitis B & C and Involving both
governmental and non-governmental organizations in national health promotion campaign
Abstract
In this research will be treated with a healthy phenomenon has a significant impact on different age groups in the community, but a phenomenon tonsillitis where they will be first Tawfiq model slope self moving averages seasonal ARMA Seasonal through systematic Xbox Cengnzla counter with rheumatoid tonsils in the city of Mosul, and for the period 2004-2009 with prediction of these numbers coming twelve months, has found that the specimen is the best representation of the data model is the phenomenon SARMA (1,1) * (2,1) 12 from the other side and explanatory variables using a maximum temperature and minimum temperature, sol
Elastic magnetic M1 electron scattering form factor has been calculated for the ground state J,T=1/2-,1/2 of 13C. The single-particle model is used with harmonic oscillator wave function. The core-polarization effects are calculated in the first-order perturbation theory including excitations up to 5ħω, using the modified surface delta interaction (MSDI) as a residual interaction. No parameters are introduced in this work. The data are reasonably explained up to q~2.5fm-1 .
(34)
(33)
(8)
(2)
(2)
(1)
(13)
Breast cancer is highlighted in recent research as one of the most prevalent types of cancer. Timely identification is essential for enhancing patient results and decreasing fatality rates. Utilizing computer-assisted detection and diagnosis early on may greatly improve the chances of recovery by accurately predicting outcomes and developing suitable treatment plans. Grading breast cancer properly, especially evaluating nuclear atypia, is difficult owing to faults and inconsistencies in slide preparation and the intricate nature of tissue patterns. This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. The research introduces a new method called SMOTE-based Convolut
... Show More
(1)
(6)
(5)
(8)
The issue of image captioning, which comprises automatic text generation to understand an image’s visual information, has become feasible with the developments in object recognition and image classification. Deep learning has received much interest from the scientific community and can be very useful in real-world applications. The proposed image captioning approach involves the use of Convolution Neural Network (CNN) pre-trained models combined with Long Short Term Memory (LSTM) to generate image captions. The process includes two stages. The first stage entails training the CNN-LSTM models using baseline hyper-parameters and the second stage encompasses training CNN-LSTM models by optimizing and adjusting the hyper-parameters of
... Show More
(9)
(5)