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Cluster Analysis methods are very important, popular data summarization techniques applied in diverse environments. These techniques retrieve the hidden patterns in large datasets in the form of characterized patterns which can be interpreted further in different contexts. Widespread use of medical information systems and explosive growth of medical databases require traditional manual data analysis...
To better utilize the medical data in electronic medical records (EMR), this study aims to present an online adaptive method for disease prediction based on the medical data of clinical laboratory test (CLT) items stored in EMR. We firstly extract the diagnosis and CLT items information from the system, and then divide the CLT items into three categories to establish the patterns of CLT items, which...
Diabetes has recently played an important role in the considerable indisposition of humanity. The diabetes patients are in a condition resulting from defects in insulin secretion with long range harm, dysfunction and failure of various human organs. Potential medical diagnosis of the disease diabetes is essential, including medical applications. However, limitations in representing the meaning and...
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