A Study of the Effects of Diabetes Control with Insulin Using an Artificial Neuromolecular System
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Jongchen Chen: National Yunlin University of Science and Technology, Taiwan
Diabetes has been recognized a vital death cause in this century. However, diabetes control has not been very successful. This is because for a patient with diabetes, in addition to his/her physiological status, there are many factors that might affect the effectiveness of each individual treatment. Therefore, there is a great deal of difficulty in establishing a guideline to decide the appropriate dosage for a particular patient. In this paper a study on diabetes control with insulin using an artificial neuromolecular system (ANM) is introduced. Our data were collected from one of major hospitals in Taiwan. The data set was comprised of 191 records, which were partitioned into a training data set and a test data set. Our experimental results showed that the ANM system can effectively predict the occurrence of problems related to insulin dosage of bioartificial pancreas, with a satisfactory accuracy.
Keywords: artificial neural network; evolutionary learning; data mining (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:tkp:mklp13:1099-1106
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