Sharif Digital Repository

Diabetes is a global problem as a silent epidemic disorder. Diabetes Mellitus has involved at least five percent of our population. It will cause so many complications and end-organs effects if it is not controlled. Today, treatment and control of diseases using computational intelligent systems has been paid a lot of attention to. That’s why this study has taken treatment and control of diabetes into consideration. So, the neural networks have been used to manage and treat diabetes. To do this, real data from diabetic patients has been gathered and based on the data, a model has been obtained to show the effect of insulin on the amount of blood glucose. Then, a neural network controller has... 

Developments in the field of data storage which is due to computers have led to an extraordinary increase in medical data just like the increase in all other fields. As a result, physicians are faced with the problem of using the stored data. Therefore, the traditional manual data analysis is inadequate due to the large amounts of data. Furthermore, the ability to use this data to extract useful information is critical for the quality of medical care. Therefore, data mining techniques arose so that we will be able to extract knowledge through applying them to the raw data and subsequently help the doctors in making decisions.
In this study, we are pursuing four goals. First, in order to... 

Diabetes mellitus is a group of disorders where the level of blood sugar remains high for a long period of time. This increase may be due to either reduced insulin secretion from the pancreatic gland, or insulin resistance, or both. Another key reason is the destruction of beta cells due to functional defect in the body’s immune system. Current treatments include controlling diet, insulin injection and pancreatic transplantation, all of which are temporary. For this reason, finding genetic factors participating in the progression of the disease and adapting treatments to these factors are under intensive studies.In this thesis, available information resources including genomic, biological... 

There is a significant amount of data in the healthcare domain and it is unfeasible to process such volume of data manually in order to diagnose the diseases and develop a treatment method in the short term. Diabetes mellitus has attracted the attention of data miners for a couple of reasons among which significant effects on the health and well-being of the contracted people and the economic burdens on the health care system are of prime importance. Researchers are trying to find a statistical correlation between the causes of this disease and factors like patient's lifestyle, hereditary information, etc. The purpose of data mining is to discover rules that facilitate the early diagnosis... 

This study seeks to investigate the factors affecting consumer behavior when using a home blood glucose tester. Most of the previous research has been on improving the performance of home medical equipment to measure vital parameters such as pressure, sugar, oxygen, etc. They have also taken steps to increase the possibility of learning and easy use of the product, which only examines consumer behavior during use .In order to achieve this goal, the theory of planned behavior has been used. In this behavioral theory, the intention to perform a specific behavior, which in this study is the monitoring of blood sugar by the patient, is examined. Behavioral intent is the attitude towards use,... 

One of the most promising strategies for fighting cancer is the drug delivery process using synthetic nanoparticles. Once in biological milieu, the nanoparticle surfaces get covered with a layer of biomolecules called the “Protein Corona”. The protein corona formation changes the nanoparticles interaction with the human body dictating a new fate for them. The protein corona composition is not only dependent on the nanoparticle itself, but also it is affected by the health condition of patients as recently discovered through the experimental studies. Here, the effect of disease on the protein corona formation is discussed through the molecular dynamics simulations. A multiscale simulation...