Method for establishing blood transfusion adverse reaction database, storage system and active early warning system
A data storage system and adverse reaction technology, applied in the medical field, can solve problems such as misdiagnosis, missed diagnosis, non-reporting and insufficient control, and achieve the effects of improving missed reports, reducing blood transfusion risks, and saving medical costs
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[0095]As a preferred embodiment, the system also includes:
[0096] A receiving unit, configured to receive manual feedback data on prediction results;
[0097] A model correction unit, configured to automatically use the feedback data to train a model.
[0098] Establish a monitoring and active early warning system. By building a large database of adverse reactions to blood transfusion, desensitize, clean, and convert the data, and establish a new model that combines machine learning and artificial intelligence algorithms to achieve automatic real-time data verification and model optimization; finally Developed a set of intelligent monitoring and active warning model system for adverse reactions of blood transfusion. Through the model established by big data, the possible conclusions of adverse reactions of blood transfusion (definite, probable, probable, suspected, uncertain, excluded) are automatically analyzed during and after each blood transfusion. It can not only make...
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