AIMC Topic:
Data Mining

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Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems.

Big data
Physics-based simulations are often used to model and understand complex physical systems in domains such as fluid dynamics. Such simulations, although used frequently, often suffer from inaccurate or incomplete representations either due to their hi...

Artificial intelligence and automation of systematic reviews in women's health.

Current opinion in obstetrics & gynecology
PURPOSE OF REVIEW: Evidence-based women's healthcare is underpinned by systematic reviews and guidelines. Generating an evidence synthesis to support guidance for clinical practice is a time-consuming and labour-intensive activity that delays transfe...

Dataset-aware multi-task learning approaches for biomedical named entity recognition.

Bioinformatics (Oxford, England)
MOTIVATION: Named entity recognition is a critical and fundamental task for biomedical text mining. Recently, researchers have focused on exploiting deep neural networks for biomedical named entity recognition (Bio-NER). The performance of deep neura...

Chemical-protein interaction extraction via Gaussian probability distribution and external biomedical knowledge.

Bioinformatics (Oxford, England)
MOTIVATION: The biomedical literature contains a wealth of chemical-protein interactions (CPIs). Automatically extracting CPIs described in biomedical literature is essential for drug discovery, precision medicine, as well as basic biomedical researc...

Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology.

Journal of digital imaging
Reports are the standard way of communication between the radiologist and the referring clinician. Efforts are made to improve this communication by, for instance, introducing standardization and structured reporting. Natural Language Processing (NLP...

Data Mining and Fusion of Unobtrusive Sensing Solutions for Indoor Activity Recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This paper proposes the fusion of data from unobtrusive sensing solutions for the recognition and classification of activities in home environments. The ability to recognize and classify activities can help in the objective monitoring of health and w...