Ba-Hoang Tran , Hung-Manh Hoang , Binh-Nguyen Nguyen , Duy-Cat Can , Hoang-Quynh Le
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引用次数: 0
Abstract
Objective:
Drug–drug interactions (DDIs) occur when one medication affects the efficacy of another, potentially leading to unforeseen patient outcomes. Existing studies primarily focus on textual data, but overlook a wealth of the drug’s multimodal information. This study aims to enhance DDI extraction by integrating diverse data modalities and evaluating various fusion strategies.
Methods:
We introduce a multimodal approach that integrates diverse representations of drug information (scientific text, graphs, formulas, images, and descriptions) to enhance the detection of drug–drug interactions. We explored various fusion techniques to effectively combine these modalities across early, intermediate, and late fusion phases. Additionally, we identify the factors contributing to failed cases, providing insights into the model’s limitations and potential improvements. We have conducted experiments using publicly available DDI datasets, demonstrating significant improvements compared to existing methods.
Results
: The proposed model significantly outperformed existing methods in DDI detection. Intermediate fusion strategies, particularly prediction-level concatenation, demonstrated superior accuracy and robustness. Detailed analyses identified factors contributing to failed cases, offering insights for future improvements.
Conclusion:
The findings highlight the potential of multimodal fusion to enhance predictive accuracy, providing a foundation for safer drug therapies and better-informed clinical decisions.
期刊介绍:
The Journal of Biomedical Informatics reflects a commitment to high-quality original research papers, reviews, and commentaries in the area of biomedical informatics methodology. Although we publish articles motivated by applications in the biomedical sciences (for example, clinical medicine, health care, population health, and translational bioinformatics), the journal emphasizes reports of new methodologies and techniques that have general applicability and that form the basis for the evolving science of biomedical informatics. Articles on medical devices; evaluations of implemented systems (including clinical trials of information technologies); or papers that provide insight into a biological process, a specific disease, or treatment options would generally be more suitable for publication in other venues. Papers on applications of signal processing and image analysis are often more suitable for biomedical engineering journals or other informatics journals, although we do publish papers that emphasize the information management and knowledge representation/modeling issues that arise in the storage and use of biological signals and images. System descriptions are welcome if they illustrate and substantiate the underlying methodology that is the principal focus of the report and an effort is made to address the generalizability and/or range of application of that methodology. Note also that, given the international nature of JBI, papers that deal with specific languages other than English, or with country-specific health systems or approaches, are acceptable for JBI only if they offer generalizable lessons that are relevant to the broad JBI readership, regardless of their country, language, culture, or health system.