Adverse drug reaction mining method and system
A technology of adverse reactions and drugs, applied in medical data mining, special data processing applications, instruments, etc., can solve the problems of not doing in-depth research, staying in adverse drug reactions, and being unable to effectively reduce adverse reactions, so as to reduce the incidence risk effect
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[0052] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments. The following examples are intended to illustrate the present invention, but not to limit the scope of the present invention.
[0053] The embodiments of the present invention are based on the local and global consistency learning (Learning with local and global consistency) algorithm for mining adverse drug reactions. Before introducing the details of the embodiments of the present invention in detail, some concepts and steps of the local-global consistency learning algorithm are briefly described.
[0054] The local-global consistency learning algorithm is a graph-based semi-supervised learning algorithm. It is a non-parametric, direct inference, and discriminative machine learning algorithm with good classification performance. Its basic principle is: construct a graph according to the similarity between data, then ...
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