AIMC Topic: Information Dissemination

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Co-model for chemical toxicity prediction based on multi-task deep learning.

Molecular informatics
The toxicity of compounds is closely related to the effectiveness and safety of drug development, and accurately predicting the toxicity of compounds is one of the most challenging tasks in medicinal chemistry and pharmacology. In this paper, we cons...

Knowledge Sharing for Pulmonary Nodule Detection in Medical Cyber-Physical Systems.

IEEE journal of biomedical and health informatics
With the rapid development of edge intelligence (EI) and machine learning (ML), the applications of Cyber-Physical Systems (CPS) have been discovered in all aspects of the life world. As one of its most essential branches, Medical CPS (MCPS) determin...

Adversarial Knowledge Distillation Based Biomedical Factoid Question Answering.

IEEE/ACM transactions on computational biology and bioinformatics
Biomedical factoid question answering is an essential application for biomedical information sharing. Recently, neural network based approaches have shown remarkable performance for this task. However, due to the scarcity of annotated data which requ...

Medical Image Classification Based on Semi-Supervised Generative Adversarial Network and Pseudo-Labelling.

Sensors (Basel, Switzerland)
Deep learning has substantially improved the state-of-the-art in object detection and image classification. Deep learning usually requires large-scale labelled datasets to train the models; however, due to the restrictions in medical data sharing and...

Compressed gastric image generation based on soft-label dataset distillation for medical data sharing.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE:   Sharing of medical data is required to enable the cross-agency flow of healthcare information and construct high-accuracy computer-aided diagnosis systems. However, the large sizes of medical datasets, the massive amount o...

Generalized genomic data sharing for differentially private federated learning.

Journal of biomedical informatics
The success behind Machine Learning (ML) methods has largely been attributed to the quality and quantity of the available data which can spread across multiple owners. A Federated Learning (FL) from distributed datasets often provides a reliable solu...

Investigating the Impact of Information Sharing in Human Activity Recognition.

Sensors (Basel, Switzerland)
The accuracy of Human Activity Recognition is noticeably affected by the orientation of smartphones during data collection. This study utilized a public domain dataset that was specifically collected to include variations in smartphone positioning. A...

The spectrum of data sharing policies in neuroimaging data repositories.

Human brain mapping
Sharing data is a scientific imperative that accelerates scientific discoveries, reinforces open science inquiry, and allows for efficient use of public investment and research resources. Considering these benefits, data sharing has been widely promo...

Genetic data sharing and artificial intelligence in the era of personalized medicine based on a cross-sectional analysis of the Saudi human genome program.

Scientific reports
The success of the Saudi Human Genome Program (SHGP), one of the top ten genomic programs worldwide, is highly dependent on the Saudi population embracing the concept of participating in genetic testing. However, genetic data sharing and artificial i...

Data-Driven Construction Safety Information Sharing System Based on Linked Data, Ontologies, and Knowledge Graph Technologies.

International journal of environmental research and public health
Accident, injury, and fatality rates remain disproportionately high in the construction industry. Information from past mishaps provides an opportunity to acquire insights, gather lessons learned, and systematically improve safety outcomes. Advances ...