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- research-articleMarch 2024JUST ACCEPTED
DeepMedFeature: An Accurate Feature Extraction and Drug-Drug Interaction Model for Clinical Text in Medical Informatics
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3651159Drug-drug interactions (DDIs) are an important biological phenomenon which can result in medical errors from medical practitioners. Drug interactions can change the molecular structure of interacting agents which may prove to be fatal in the worst case. ...
- research-articleNovember 2023
Enhancing Human Motion Prediction through Joint-based Analysis and AVI Video Conversion
Mobile Networks and Applications (MNET), Volume 28, Issue 5Pages 1673–1686https://doi.org/10.1007/s11036-023-02261-0AbstractHuman joint motion exhibits a high degree of freedom, with different joints capable of moving and rotating in various directions. Consequently, accurately capturing the features of posture motion becomes challenging, resulting in lower prediction ...
- research-articleNovember 2021
Deep-Confidentiality: An IoT-Enabled Privacy-Preserving Framework for Unstructured Big Biomedical Data
ACM Transactions on Internet Technology (TOIT), Volume 22, Issue 2Article No.: 42, Pages 1–21https://doi.org/10.1145/3421509Due to the Internet of Things evolution, the clinical data is exponentially growing and using smart technologies. The generated big biomedical data is confidential, as it contains a patient’s personal information and findings. Usually, big biomedical data ...
