Lung Cancer Detection Using Artificial Neural Network

In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is “survey lung cancer”. Model evaluation showed that the ANN model is able to detect the absence or presence of lung cancer with 96.67 % accuracy

Web Application for Generating a Standard Coordinated Documentation for CS Students’ Graduation Project in Gaza Universities

The computer science (CS) graduated students suffered from documenting their projects and specially from coordinating it. In addition, students’ supervisors faced difficulties with guiding their students to an efficient process of documenting. In this paper, we will offer a suggestion as a solution to the mentioned problems; that is an application to make the process of documenting computer science (CS) student graduation project easy and time-cost efficient. This solution will decrease the possibility of human mistakes and reduce the effort of documenting process

Development of a Novel Solid-State Sensor Electrode Based on Titanium Thin Film as an Indicator Electrode in Potentiometric and Conductometric Acid-Base Titration in Aqueous Solution

A modified Ti/(SnO2 + Sb2O3) electrode was prepared by thermal deposition on titanium substrate and its use as indicator electrode to potentiometric and conductometric acid-base titration in aqueous solution at 298 K was developed. The E-pH curve is linear with slope of 0.0512 V/dec at 298 K. The standard potential of this electrode, E0, was determined with respect to the SCE as reference electrode. The recovery percentages for potentiometric and conductometric acid-base titration for acetic acid against NaOH were calculated. The cell constant, specific conductance, and the molar conductance with dilution for some common electrolytes were measured

Medical Expert Systems Survey

There is an increase interest in the area of Artificial Intelligence in general and expert systems in particular. Expert systems are rapidly growing technology. Expert system is a branch of Artificial Intelligence which is having a great impact on many fields of human life. Expert systems use human expert knowledge to solve complex problems in many fields such as Health, science, engineering, business, and weather forecasting. Organizations employing the technology of expert system have seen an increase in the efficiency and the quality. An expert system is computer program that emulates the behavior of a human expert. The expert system represents knowledge solicited from human expert as data or production rules within a computer program. These rules and data can be used to solve complex problems. In this paper, we give an overview of this technology and will discuss a survey on many papers done in health using expert system

Energy Efficiency Prediction using Artificial Neural Network

Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on a dataset for building energy performance. The main factors for input variables are: relative compactness, roof area, overall height, surface area, glazing are a, wall area, glazing area distribution of a building, orientation, and the output variables: heating and cooling loads of the building. The dataset used for training are the data published in the literature for various 768 residential buildings. The model was trained and validated, most important factors affecting heating load and cooling load are identified, and the accuracy for the validation was 99.60%

Direct and Indirect Effects of IQ, Parental Help, Effort, and Mathematics Self-Concept on Mathematics Achievement

This study examined the structural relationships among cognitive constructs (intelligence and achievement) and affective constructs (perceived parental help, effort and self-concept). It was proposed that the relationships are not invariant across gender. The sample consisted of 219 boys and 133 girls from elementary and preparatory public schools in Al Ain in the United Arab Emirates. Intelligence (IQ) was measured by the Test of Non-verbal Intelligence (TONI) and parental help was measured by 4-Likert-type items. Effort was measured by 4-Likert-type items. Self-concept (SC) was measured by 8-Likert-type items taken from the SDQ I (Abu-Hilal, 2000). Mathematic Achievement was the scores of students in mathematics from school records. The structural model assumed that IQ would have an effect on parental help, effort, SC and achievement. Parental help would have an effect on effort, SC and achievement. Also, effort would have an effect on SC and achievement. Finally, SC would have an effect on achievement. The structural model was tested for invariance across gender. The measurement model proved to be invariant across gender and so was the structural model. The non-constrained model indicated that the structural relationships among the variables do vary according to gender. For example, boys benefited from parental help by exerting more effort while girls did not. Boys with high IQ exerted more effort than boys with low IQ; but girls with high IQ exerted the same amount of effort as girls with low IQ. The model explained 45% and 39% of the variance in math scores for boys and girls, respectively

Barriers to Health Care Utilization Facing Prostate Cancer Survivors Living in Gaza Strip

There are several studies that aimed to identify barriers to health care utilization, but none of them was conducted in a developing country that addressed barriers to health care utilization facing prostate cancer survivors. This study aimed at identifying barriers to health care utilization facing prostate cancer survivors who live in Gaza Strip. A qualitative approach with a semi-structured interview was used to collect data. Participants reported several barriers to health care utilization. These barriers were categorized under the following major categories: 1) barriers due to unavailability, 2) organizational barriers, 3) communication barriers, 4) geographical barriers, 5) socioeconomic barriers, and 6) barriers related directly to the blockade imposed on Gaza Strip. Within each category several subcategories emerged

Quality of Life and Barriers to Health Care of Prostate Cancer Survivors Residing in Gaza Strip

Prostate cancer is the second common type of cancer worldwide and in Palestine. The use of different treatment options helped prostate cancer survivors to get cured or to live for longer periods of time. Because of the several complications of treatment options, issues related to quality of life (QOL) became highly important in the decision of which option to use

End of Life-Decisions: An Islamic Perspective

Patients who live with a low quality of life and suffer from chronic pain may wish to end their suffering through different means such as active euthanasia, passive euthanasia, and physician-assisted suicide. These alternatives to end one’s own life create many ethical dilemmas for health care professionals, patients, and family members. Some of these decisions are forbidden in Islamic Religion, while others are permitted. In this paper, the authors will discuss how Islam looks at these decisions. Knowing about how Islam deals with such decisions will be of great help for health care providers who take care of Muslim patients. It will also help patients and their families in making their decisions at the end of life

Quality of life in prostate cancer survivors in developing countries: The case of the Gaza Strip, Palestine

Background & Aim: Prostate cancer is one of the most common cancers in males and the second leading cause of cancer-related deaths in Palestine. Although, many studies were conducted in de-veloped countries to evaluate quality of life (QOL) in survivors of prostate cancer, the researchers could not find any study that was conducted in a developing country including Palestine. Therefore, the purpose of this study was to evaluate the QOL of prostate cancer survivors residing in Gaza Strip, Palestine, as an example of a developing country, and compare it with the literature. Methods & Materials: A total of a 121 men who were diagnosed with prostate cancer and live in Gaza Strip participated in this cross-sectional study. The University of California at Los Angeles Prostate-Specific Index including the RAND 36-Item Health Survey v2 was used to assess QOL of participants. Results: Age of participants’ ranged between 52 and 89 years with a mean of 71.80 (SD 7.66). The greatest majority of participants (n= 94, 77.67%) were diagnosed with prostate cancer after the age of 60. The mean scores for the entire general QOL items was 47.93 (SD= 22.46) and the mean for all Prostate Cancer Index-University of California items was 44.20 (SD= 16.16). Conclusion: Prostate cancer survivors living in Gaza Strip, Palestine have lower level of QOL than their counterparts who live in developed courtiers. These differences could be related to early screening and advanced technology used to treat prostate cancer in developed countries. Health care providers and health care policy makers need to improve provided health care services and introduce screening