Early identification of patients at risk for iron-deficiency anemia using deep learning techniques

CONCLUSIONS: Our results showcase the feasibility of employing deep learning techniques for early prediction of IDA in the outpatient setting based on sequences of laboratory data, offering a substantial lead time for clinical intervention.PMID:38642073 | DOI:10.1093/ajcp/aqae031

Source: American Journal of Clinical Pathology - April 20, 2024 Category: Pathology Authors: Nelly Estefanie Garduno-Rapp Yee Seng Ng Jenny L Weon Sameh N Saleh Christoph U Lehmann Chenlu Tian Andrew Quinn Source Type: research