AIMC Topic:
Data Mining

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Machine learning for prediction of 30-day mortality after ST elevation myocardial infraction: An Acute Coronary Syndrome Israeli Survey data mining study.

International journal of cardiology Nov 1, 2017
BACKGROUND: Risk scores for prediction of mortality 30-days following a ST-segment elevation myocardial infarction (STEMI) have been developed using a conventional statistical approach.
Middle Aged Risk Assessment Surveys and Questionnaires Aged Survival Rate Male Registries Data Mining Israel Acute Coronary Syndrome Hospital Mortality ROC Curve ST Elevation Myocardial Infarction Machine Learning Algorithms Prognosis Retrospective Studies Female Risk Factors Humans
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Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2017
OBJECTIVE: As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal ...
Data Mining United States Food and Drug Administration Adverse Drug Reaction Reporting Systems Logistic Models United States Models, Theoretical Support Vector Machine Natural Language Processing Drug-Related Side Effects and Adverse Reactions Machine Learning ROC Curve
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Machine Learning, Sentiment Analysis, and Tweets: An Examination of Alzheimer's Disease Stigma on Twitter.

The journals of gerontology. Series B, Psychological sciences and social sciences Sep 1, 2017
OBJECTIVES: Social scientists need practical methods for harnessing large, publicly available datasets that inform the social context of aging. We describe our development of a semi-automated text coding method and use a content analysis of Alzheimer...
Humans Machine Learning Algorithms Male United States Social Media Disability Evaluation Female Aged Aged, 80 and over Public Opinion Ageism Data Mining Alzheimer Disease Social Stigma
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T-GOWler: Discovering Generalized Process Models Within Texts.

Journal of computational biology : a journal of computational molecular cell biology Aug 1, 2017
Contemporary workflow management systems are driven by explicit process models specifying the interdependencies between tasks. Creating these models is a challenging and time-consuming task. Existing approaches to mining concrete workflows into model...
Workflow Data Mining Semantics Gene Ontology Algorithms Humans Phylogeny Computational Biology
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Deep mining heterogeneous networks of biomedical linked data to predict novel drug-target associations.

Bioinformatics (Oxford, England) Aug 1, 2017
MOTIVATION: A heterogeneous network topology possessing abundant interactions between biomedical entities has yet to be utilized in similarity-based methods for predicting drug-target associations based on the array of varying features of drugs and t...
Semantic Web Computational Biology Data Mining Pharmacology Machine Learning Software Humans
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DextMP: deep dive into text for predicting moonlighting proteins.

Bioinformatics (Oxford, England) Jul 15, 2017
MOTIVATION: Moonlighting proteins (MPs) are an important class of proteins that perform more than one independent cellular function. MPs are gaining more attention in recent years as they are found to play important roles in various systems including...
Animals Proteomics Models, Biological Humans Molecular Sequence Annotation Software Unsupervised Machine Learning Xenopus laevis Data Mining Databases, Factual Saccharomyces cerevisiae
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Deep learning with word embeddings improves biomedical named entity recognition.

Bioinformatics (Oxford, England) Jul 15, 2017
MOTIVATION: Text mining has become an important tool for biomedical research. The most fundamental text-mining task is the recognition of biomedical named entities (NER), such as genes, chemicals and diseases. Current NER methods rely on pre-defined ...
Mice Data Mining Machine Learning Software Animals Humans
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Staged Inference using Conditional Deep Learning for energy efficient real-time smart diagnosis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2017
Recent progress in biosensor technology and wearable devices has created a formidable opportunity for remote healthcare monitoring systems as well as real-time diagnosis and disease prevention. The use of data mining techniques is indispensable for a...
Humans Neural Networks, Computer Machine Learning Data Mining Conditioning, Classical
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Cancer quantification from data mining to artificial intelligence.

Computer methods and programs in biomedicine Jul 1, 2017
Artificial Intelligence Tomography, X-Ray Computed Neoplasms Diagnosis, Computer-Assisted Computational Biology Data Mining Humans Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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nala: text mining natural language mutation mentions.

Bioinformatics (Oxford, England) Jun 15, 2017
MOTIVATION: The extraction of sequence variants from the literature remains an important task. Existing methods primarily target standard (ST) mutation mentions (e.g. 'E6V'), leaving relevant mentions natural language (NL) largely untapped (e.g. 'glu...
Data Mining Humans Software Unsupervised Machine Learning Natural Language Processing Mutation PubMed
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