A compact edge EHR with a random forest model estimates hemoglobin from fingernail images with RMSE 1.969 g/dL and 79.2% sensitivity on a public 250-image dataset.
Harnessing the digital revolution: A comprehensive review of mhealth applications for remote monitor- ing in transforming healthcare delivery,
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Design of an Edge-based Portable EHR System for Anemia Screening in Remote Health Applications
A compact edge EHR with a random forest model estimates hemoglobin from fingernail images with RMSE 1.969 g/dL and 79.2% sensitivity on a public 250-image dataset.