연구 성과

신종 감염병 대응을 위한 보건 정보 연구에서는 다음과 같은 성과를 창출 했습니다.

• NGS data vectorization, clustering, and finding key codons in SARS-CoV-2 variations. NGS data vectorization, clustering, and finding key codons in SARS-CoV-2 variations

  게재 날짜 : '22.05.17 기관 : KISTI 학술지 : BMC Bioinformatics
• Analysis of COVID-19 vaccine adverse event using language model and unsupervised machine learning. Analysis of COVID-19 vaccine adverse event using language model and unsupervised machine learning

  게재 날짜 : '22.02.21 기관 : KISTI 학술지 : PLOS ONE
• Forecasting imported COVID-19 cases in South Korea using mobile roaming data. Study on forecasting imported COVID-19 cases in South Korea"

  게재 날짜 : '20.11.04 기관 : KISTI 학술지 : PLOS ONE