The invention discloses an autism risk quantification method and device based on electroencephalogram information and a storage medium. Patient information and electroencephalogram information of at least two brain regions of a patient are acquired to serve as a data basis, the electroencephalogram information is preprocessed to obtain filtered electroencephalogram data, noise removal is facilitated, accuracy of data is improved, the coherence of electroencephalogram data between different brain regions is then calculated and compared with the coherence of electroencephalogram data, stored ina server, of normal people, and thus an autism risk quantification result is obtained. Compared with reliance on manual judgment of doctors in the prior art, efficiency is greatly improved, and the primary antusm risk quantitative result can be obtained quickly and accurately.
Autism risk quantification method and device based on electroencephalogram information and storage medium