… In the field of medical informatics, the automatic sleep staging is a challenging and … methods
are based on single channel electroencephalography (EEG) data. However, these methods …

… According to the probability of re-admission within 30 days, we can judge the effect of this
treatment, thus assisting doctors to provide more efficient treatment for patients, so as to …

… In addition, setting a reasonable terminal training threshold can effectively avoid overfitting.
An importance analysis of the parameters indicates that the main steam temperature and the …

… machine learning technologies to optimize risk assessment models and improve the accuracy
and efficiency … Overall, this is a process of deep integration of information technology and …

… With the help of a new generation of information technology, … approach the real stress
state of the bridge, so as to identify the risk conditions in advance and take active and efficient …

… The detection efficiency is low while the cost is high, which needs more than 7 d to issue a
… methods carried out by digital and intelligent approaches have improved the efficiency to a …

… Chinese Electronic Medical Records (EMR). [Methods] We constructed a deep learning model
… [Conclusions] The RoBERTa-WWM-BiLSTM-CRF model could effectively conduct named …

… The machine learning methods currently applied in animal … This paper introduced the
traditional methods of genomic … BMC Medical Informatics and Decision Making, 2017, 17(1): …

… to extract medical entity relationships based on Medical Domain-… [Methods] First, we used
a multi-instance strategy to reduce … model could effectively extract medical entity relationships …