Elisabet Golobardes

An interpretable computational phenotyping pipeline for adult autism using routine electronic health records

Introduction Electronic health records (EHRs) provide new opportunities for computational phenotyping in mental health, but routinely collected diagnostic data are often sparse, heterogeneous, and challenging to interpret. While numerous computational approaches have been applied to identify patient subgroups, clinical...