AIMC Topic: Publications

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Automatic recognition of self-acknowledged limitations in clinical research literature.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2018
OBJECTIVE: To automatically recognize self-acknowledged limitations in clinical research publications to support efforts in improving research transparency.
Machine Learning Biomedical Research Logistic Models Support Vector Machine Natural Language Processing Publications PubMed
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LitPathExplorer: a confidence-based visual text analytics tool for exploring literature-enriched pathway models.

Bioinformatics (Oxford, England) Apr 15, 2018
MOTIVATION: Pathway models are valuable resources that help us understand the various mechanisms underpinning complex biological processes. Their curation is typically carried out through manual inspection of published scientific literature to find i...
Publications Supervised Machine Learning Data Mining Computer Graphics
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Detecting Chemotherapeutic Skin Adverse Reactions in Social Health Networks Using Deep Learning.

JAMA oncology Apr 1, 2018
This study reports proof-of-principle early detection of chemotherapeutic-associated skin adverse drug reactions from social health networks using a deep learning–based signal generation pipeline to capture how patients describe cutaneous eruptions.
Humans Antineoplastic Agents Deep Learning Bias Publications Skin Diseases Drug-Related Side Effects and Adverse Reactions Data Mining Information Storage and Retrieval Product Surveillance, Postmarketing Social Networking Community Networks
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Drug-drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths.

Bioinformatics (Oxford, England) Mar 1, 2018
MOTIVATION: Adverse events resulting from drug-drug interactions (DDI) pose a serious health issue. The ability to automatically extract DDIs described in the biomedical literature could further efforts for ongoing pharmacovigilance. Most of neural n...
Humans Neural Networks, Computer Publications Drug Interactions Data Mining Pharmacovigilance
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Biological Event Trigger Identification with Noise Contrastive Estimation.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2018
Biological Event Extraction is an important task towards the goal of extracting biomedical knowledge from the scientific publications by capturing biomedical entities and their complex relations from the texts. As a crucial step in event extraction, ...
Neural Networks, Computer Algorithms Biomedical Research Natural Language Processing Publications Data Mining Semantics
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Using uncertainty to link and rank evidence from biomedical literature for model curation.

Bioinformatics (Oxford, England) Dec 1, 2017
MOTIVATION: In recent years, there has been great progress in the field of automated curation of biomedical networks and models, aided by text mining methods that provide evidence from literature. Such methods must not only extract snippets of text t...
Machine Learning Publications Data Mining Uncertainty
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Identification of promising research directions using machine learning aided medical literature analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The rapidly expanding corpus of medical research literature presents major challenges in the understanding of previous work, the extraction of maximum information from collected data, and the identification of promising research directions. We presen...
Humans Machine Learning Research Publications
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