Abstract: In embodiments of the present disclosure, disclosure is an immunogenicity prediction method comprising the steps of: acquiring information about synthetic long peptides for treating carcinoma in a subject through an immunogenicity prediction device; processing the synthetic long peptides by one processing method of embedding, one-hot encoding, and BLOSUM through the immunogenicity prediction device, and outputting one or more antigen feature values based on the processed data; inputting the cleavage probability vector for each position of the synthetic long peptides through the immunogenicity prediction device to output one or more cleavage feature values; inputting a neoantigen peptide sequence, an HLA class I sequence, an HLA class II sequence within the synthetic long peptides through the immunogenicity prediction device to output one or more neoantigen feature values related to the immunity and binding affinity to the neoantigen peptide sequence; and outputting an immunogenicity score of the neoantigen pe