A method for predicting a development level difference of language and communication capability normality of a healthy infant or toddler. The method comprises: obtaining electroencephalogram (EEG) or magnetoencephalogram (MEG) waveform data of a healthy infant or toddler caused by external auditory stimulation; obtaining, from the EEG or MEG waveform data, quantitative data that represents measurement index data of a central nervous system caused by the external auditory stimulation; and using a data set to train a machine learning classifier, so as to obtain a prediction result. Further provided are a relevant tool and an integrated system.
METHOD AND TOOL FOR PREDICTING LANGUAGE DEVELOPMENT AND COMMUNICATION CAPABILITIES OF INFANT AND TODDLER