AIMC Topic: Biomedical Research

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A bibliometric analysis of natural language processing in medical research.

BMC medical informatics and decision making Mar 22, 2018
BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great significance ...
Biomedical Research Bibliometrics PubMed Knowledge Discovery Humans Natural Language Processing
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Training replicable predictors in multiple studies.

Proceedings of the National Academy of Sciences of the United States of America Mar 12, 2018
This article considers replicability of the performance of predictors across studies. We suggest a general approach to investigating this issue, based on ensembles of prediction models trained on different studies. We quantify how the common practice...
Databases, Factual Prognosis Biomedical Research Computer Simulation Reproducibility of Results Female Ovarian Neoplasms Humans Machine Learning
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Biosignature Discovery for Substance Use Disorders Using Statistical Learning.

Trends in molecular medicine Feb 4, 2018
There are limited biomarkers for substance use disorders (SUDs). Traditional statistical approaches are identifying simple biomarkers in large samples, but clinical use cases are still being established. High-throughput clinical, imaging, and 'omic' ...
Humans Machine Learning Biomarkers Substance-Related Disorders Biomedical Research Models, Statistical
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Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets.

Journal of healthcare engineering Feb 4, 2018
Many real-world medical datasets contain some proportion of missing (attribute) values. In general, missing value imputation can be performed to solve this problem, which is to provide estimations for the missing values by a reasoning process based o...
Pattern Recognition, Automated Medical Records Humans Machine Learning Databases, Factual Biomedical Research Algorithms
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Harnessing electronic medical records to advance research on multiple sclerosis.

Multiple sclerosis (Houndmills, Basingstoke, England) Jan 9, 2018
BACKGROUND: Electronic medical records (EMR) data are increasingly used in research, but no studies have yet evaluated similarity between EMR and research-quality data and between characteristics of an EMR multiple sclerosis (MS) population and known...
Natural Language Processing Multiple Sclerosis Middle Aged Severity of Illness Index Academic Medical Centers Information Storage and Retrieval Female Adult Biomedical Research Male Humans Electronic Health Records
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BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics.

Database : the journal of biological databases and curation Jan 1, 2018
Precision medicine aims to provide personalized treatments based on individual patient profiles. One critical step towards precision medicine is leveraging knowledge derived from biomedical publications-a tremendous literature resource presenting the...
Data Mining Medical Informatics Humans Natural Language Processing Mutation Precision Medicine Biomedical Research
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Gene ontology concept recognition using named concept: understanding the various presentations of the gene functions in biomedical literature.

Database : the journal of biological databases and curation Jan 1, 2018
OBJECTIVE: A major challenge in precision medicine is the development of patient-specific genetic biomarkers or drug targets. The firsthand information of the genes associated with the pathologic pathways of interest is buried in the ocean of biomedi...
Algorithms Reproducibility of Results Machine Learning Biomedical Research Semantics Gene Ontology Publications
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Disease named entity recognition from biomedical literature using a novel convolutional neural network.

BMC medical genomics Dec 28, 2017
BACKGROUND: Automatic disease named entity recognition (DNER) is of utmost importance for development of more sophisticated BioNLP tools. However, most conventional CRF based DNER systems rely on well-designed features whose selection is labor intens...
Data Mining Neural Networks, Computer Disease Biomedical Research
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A multiple distributed representation method based on neural network for biomedical event extraction.

BMC medical informatics and decision making Dec 20, 2017
BACKGROUND: Biomedical event extraction is one of the most frontier domains in biomedical research. The two main subtasks of biomedical event extraction are trigger identification and arguments detection which can both be considered as classification...
Models, Theoretical Machine Learning Biomedical Research Humans Neural Networks, Computer
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Vector representations of multi-word terms for semantic relatedness.

Journal of biomedical informatics Dec 13, 2017
This paper presents a comparison between several multi-word term aggregation methods of distributional context vectors applied to the task of semantic similarity and relatedness in the biomedical domain. We compare the multi-word term aggregation met...
Machine Learning Reproducibility of Results Humans Semantics Biomedical Research Unified Medical Language System Natural Language Processing
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