Research Article
Identification of Drug-Drug Interactions Using OCR
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@INPROCEEDINGS{10.1007/978-3-030-99197-5_11, author={Enas Saleem Alrehily and Rawan Fahad Alhejaili and Dalal Rasheed Albeladi and Liyakathunisa Syed}, title={Identification of Drug-Drug Interactions Using OCR}, proceedings={IoT Technologies for Health Care. 8th EAI International Conference, HealthyIoT 2021, Virtual Event, November 24-26, 2021, Proceedings}, proceedings_a={HEALTHYIOT}, year={2022}, month={3}, keywords={OCR Drug-drug interactions Text detection Drug label}, doi={10.1007/978-3-030-99197-5_11} }- Enas Saleem Alrehily
Rawan Fahad Alhejaili
Dalal Rasheed Albeladi
Liyakathunisa Syed
Year: 2022
Identification of Drug-Drug Interactions Using OCR
HEALTHYIOT
Springer
DOI: 10.1007/978-3-030-99197-5_11
Abstract
Text detection and recognition in natural images have recently gained the attention of many researchers. It plays a significant role in different applications such as labels package identifications, and many blind assistance applications. OCR is widely used for this purpose. Precisely, for the drug label identification. It can be used to detect the Drug-Drug Interaction (DDI) which considers as one of the challenging tasks in public health safety. In this research, OCR is used to detect and extract the drug name from the drug boxes. Then the extracted drug name is used as input for the DDI identification process. The results of the proposed system are promising.
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