A quantitative quality control method of big data in cancer patients using artificial neural network

摘要: Nonstandard treatments for cancer patients are commonly seen in hospitals of developing countries like China. So it is crucial to standardize the with technological means order supervise process treatments. Widespread electronic health records (EHRs) has generated massive data sets which far beyond capability traditional computing model. Although there and measures about quality control, but automatic computerized Quantitative Control (QC) quantization methods still lack. In this paper, we propose a quantitative control method radiotherapy chemotherapy based on artificial neural network automatically analysis rate compliance standard treatment process. The QC items established constructed accordingly. Then selected cases evaluated by experts corresponding grades train network. After that, trained can be used grade new their score. To meet high requirement computation accommodate sets, adopt our proposal cloud. With distributed nodes cloud, dynamically allocated homogenization ANN computing, each node work both medical according system load balance resulting perform parallelism.