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SeDIE: A Semantic-Driven Engine for Integration of Healthcare Data.

, , , and . BIBM, page 617-622. IEEE Computer Society, (2018)

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Pre-trained Deep Learning Models for Chest X-Rays' Classification: Views and Age-Groups., , , and . IntelliSys (2), volume 823 of Lecture Notes in Networks and Systems, page 71-82. Springer, (2023)Using distributed component model for active service deployment., and . ISCC, page 258-263. IEEE Computer Society, (2002)EMR2vec: Bridging the gap between patient data and clinical trial., , , and . Comput. Ind. Eng., (2021)Impact of Gender and Chest X-Ray View Imbalance in Pneumonia Classification Using Deep Learning., , and . IntelliSys (2), volume 823 of Lecture Notes in Networks and Systems, page 83-93. Springer, (2023)Data Link Discovery Tools for Big Linked Data: A comprehensive study., , and . BDCSIntell, volume 2622 of CEUR Workshop Proceedings, page 5-12. CEUR-WS.org, (2019)Pneumonia and COVID-19 Detection in Chest X-rays Using Faster Region-Based Convolutional Neural Networks (Faster R-CNN)*., , and . BHI, page 1-8. IEEE, (2022)Using Embedding-based Metrics to Expedite Patients Recruitment Process for Clinical Trials., and . BDCSIntell, volume 2622 of CEUR Workshop Proceedings, page 23-29. CEUR-WS.org, (2019)A Service Oriented P2P architecture with semantic support., , and . ICON, page 1-6. IEEE, (2008)SDN security problems and solutions analysis., , and . CFIP/NOTERE, page 1-5. IEEE, (2015)SeDIE: A Semantic-Driven Engine for Integration of Healthcare Data., , , and . BIBM, page 617-622. IEEE Computer Society, (2018)