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Electronic health records (EHRs) provide a potentially valuable source of information for pharmacovigilance. However, adverse drug events (ADEs), which can be encoded in EHRs with specific diagnosis codes, are heavily under-reported. To provide more accurate estimates for drug safety surveillance, machine learning systems that are able to detect ADEs could be used to identify and suggest missing ADE-specific...
Through the introduction of confidence machine, this paper indicates its application in the adaptive teaching system. Based on the analysis to the educational theory for the application of confidence machine systems, we point out that adaptive teaching is the direction of development. Three ways of applying confidence machine to the personalized network course learning are analyzed.
The Choquet integral is a very useful tool for multiple resource information fusion. Also, the case-based reasoning (CBR) can serve as the information fusion tool based on the basic idea “similar problems have similar solutions”. But the similarity measure among diverse cases has been studied with little satisfaction in the past decades. In this paper we take arbitrary number of similar case distances...
Analytical structure of fuzzy controller has recovered two important issues: why fuzzy controller is useful in application and what relationships are there between fuzzy controller and the most used PID controller. But these existing outcomes are uniformly studied under the conditions that all fuzzy rules are taken the same fuzzy membership degrees. This is not real in some applications since some...
Searching the best Bayesian Network is an NP-hard problem. When the number of variables in Bayesian Network is large, the process of searching is likely to fall into premature convergence and return a local optimal network structure. A new approach for Bayesian Networks structure learning, which is based on the discrete Binary Quantum-behaved Particle Swarm Optimization algorithm, is introduced. The...
Identifying gene names in biomedical texts is regarded as a crucial step for text mining. Our approach is a combination of dictionary based approach and machine learning based approach. Based on a gene name dictionary, an edit distance approximate string searching algorithm was used to improve the recall rate of gene recognition which is greatly lowered due to a lack of standard gene-naming conventions...
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