Ontology highlight
ABSTRACT:
SUBMITTER: Kim RB
PROVIDER: S-EPMC9058995 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Kim Renaid B RB Gryak Jonathan J Mishra Abinash A Cui Can C Soroushmehr S M Reza SMR Najarian Kayvan K Wrobel James S JS
Computers in biology and medicine 20201008
The objective of this study was to build a machine learning model that can predict healing of diabetes-related foot ulcers, using both clinical attributes extracted from electronic health records (EHR) and image features extracted from photographs. The clinical information and photographs were collected at an academic podiatry wound clinic over a three-year period. Both hand-crafted color and texture features and deep learning-based features from the global average pooling layer of ResNet-50 wer ...[more]