A New Model Based on Grey Theory and Neural Network Algorithm for Evaluation of AIDS Clinical Trial
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| Title | A New Model Based on Grey Theory and Neural Network Algorithm for Evaluation of AIDS Clinical Trial |
| Authors | |
| Abstract | HIV/AIDS is one of the greatest challenges in public health field. The treatment and prevention of AIDS have become the most important research areas in life science. Although there are many therapies, the therapeutic effects are not definitive. Thus, the evaluation of these therapies becomes necessary.Some researcher found that stop using treatment drugs in a short period might extend life time of AIDS patients. This period called withdrawal frame. However, it is hard to choice the best time frame of withdrawal treatment drugs. To solve this problem, we conducted GM (1, 1) model using the data of ACTG320 clinical trial. After consider level of CD4 cells and HIV viral load as two indicators of treatment effect, we calculated the best time frame to withdrawal drugs for each patient and concluded that for most patients, the best time frame of withdrawal drugs is from 20 to 40 weeks.Then we analyzed the data of 193A clinical trial by neural network model to evaluate the therapeutic effect of 4 groups of patients with different drugs treatment plan. We divided the patients into two groups (one is the younger group, the other is the older group) to rule out the effect of variable age as a confounder. After removing the random errors, we predict the effect of the best therapy of each age group using time series model. To better apply our analysis into practice, we conducted goal programming model considering the price of the drugs. We concluded that compare with reducing the type of drugs, reducing the dose of drug is a better choice for the young patients when they are not in a good economic condition. |
| Publisher | Advances in Computational Mathematics and its Applications |
| Date | 2013-03-10 |
| Source | 2167-6356 |
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