Ontology highlight
ABSTRACT:
SUBMITTER: Zhang T
PROVIDER: S-EPMC10439251 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature
Zhang Tianyu T Tan Tao T Wang Xin X Gao Yuan Y Han Luyi L Balkenende Luuk L D'Angelo Anna A Bao Lingyun L Horlings Hugo M HM Teuwen Jonas J Beets-Tan Regina G H RGH Mann Ritse M RM
Cell reports. Medicine 20230724 8
Digital health data used in diagnostics, patient care, and oncology research continue to accumulate exponentially. Most medical information, and particularly radiology results, are stored in free-text format, and the potential of these data remains untapped. In this study, a radiological repomics-driven model incorporating medical token cognition (RadioLOGIC) is proposed to extract repomics (report omics) features from unstructured electronic health records and to assess human health and predict ...[more]