{"version":"1.0","type":"link","title":"Development of an interpretable machine learning model to predict complete remission and first adverse event in pediatric acute myeloid leukemia using routine clinical data.","author_name":"Huang N 외","author_url":"https://prs-insight.online/author/Huang%20N","provider_name":"PRSinsight","provider_url":"https://prs-insight.online","thumbnail_url":"https://prs-insight.online/og/paper/158778","thumbnail_width":1200,"thumbnail_height":630}