AIMC Topic: Databases, Factual

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Data-Sharing Gateway System Design for Large-Scale Medical Information Collection with Distributed EMR Storage.

Studies in health technology and informatics
The collection and use of large-scale medical information for developing artificial intelligence engines are actively ongoing. In Japan, collection systems have been built to collect data for medical image analysis and disease repositories. In the ex...

CDS-Compare: A Web Application for Machine Learning Assisted Curation of Clinical Order Sets.

Studies in health technology and informatics
Order sets that adhere to disease-specific guidelines have been shown to increase clinician efficiency and patient safety but curating these order sets, particularly for consistency across multiple sites, is difficult and time consuming. We created s...

[Automatic detection model of hypertrophic cardiomyopathy based on deep convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
The diagnosis of hypertrophic cardiomyopathy (HCM) is of great significance for the early risk classification of sudden cardiac death and the screening of family genetic diseases. This research proposed a HCM automatic detection method based on convo...

Benchmarking missing-values approaches for predictive models on health databases.

GigaScience
BACKGROUND: As databases grow larger, it becomes harder to fully control their collection, and they frequently come with missing values. These large databases are well suited to train machine learning models, e.g., for forecasting or to extract bioma...

Machine Learning Applied to Routinely Collected Health Administrative Data.

Healthcare quarterly (Toronto, Ont.)
There has been considerable growth in the development of machine learning algorithms for clinical applications. The authors survey recent machine learning models developed with the use of large health administrative databases at ICES and highlight th...

Evaluating the predictive accuracy of curated biological pathways in a public knowledgebase.

Database : the journal of biological databases and curation
ABSTRACT: Reactome is a database of human biological pathways manually curated from the primary literature and peer-reviewed by experts. To evaluate the utility of Reactome pathways for predicting functional consequences of genetic perturbations, we ...

Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture.

Briefings in bioinformatics
Protein lysine crotonylation (Kcr) is an important type of posttranslational modification that is associated with a wide range of biological processes. The identification of Kcr sites is critical to better understanding their functional mechanisms. H...

Accelerating the discovery of antifungal peptides using deep temporal convolutional networks.

Briefings in bioinformatics
The application of machine intelligence in biological sciences has led to the development of several automated tools, thus enabling rapid drug discovery. Adding to this development is the ongoing COVID-19 pandemic, due to which researchers working in...

Reconstruction of human protein-coding gene functional association network based on machine learning.

Briefings in bioinformatics
Networks consisting of molecular interactions are intrinsically dynamical systems of an organism. These interactions curated in molecular interaction databases are still not complete and contain false positives introduced by high-throughput screening...

ImmuneData: an integrated data discovery system for immunology data repositories.

Database : the journal of biological databases and curation
UNLABELLED: To meet the increasing demand for data sharing, data reuse and meta-analysis in the immunology research community, we have developed the data discovery system ImmuneData. The system provides integrated access to five immunology data repos...