AIMC Topic: Biomedical Research

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DIY-Bio - economic, epistemological and ethical implications and ambivalences.

Life sciences, society and policy May 30, 2016
Since 2008, we witness the emergence of the Do-It-Yourself Biology movement, a global movement spreading the use of biotechnology beyond traditional academic and industrial institutions and into the lay public. Practitioners include a broad mix of am...
Humans Ethics, Research Knowledge Bases Synthetic Biology Biomedical Research United States Europe
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Big Data and machine learning in radiation oncology: State of the art and future prospects.

Cancer letters May 27, 2016
Precision medicine relies on an increasing amount of heterogeneous data. Advances in radiation oncology, through the use of CT Scan, dosimetry and imaging performed before each fraction, have generated a considerable flow of data that needs to be int...
Humans Neural Networks, Computer Electronic Health Records Risk Factors Biomedical Research Machine Learning Decision Support Techniques Databases, Factual Radiation Oncology Data Mining Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Risk Assessment Neoplasms Support Vector Machine Unsupervised Machine Learning Data Interpretation, Statistical
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Artificial intelligence in medicine: humans need not apply?

The New Zealand medical journal May 6, 2016
Artificial intelligence (AI) is a rapidly growing field with a wide range of applications. Driven by economic constraints and the potential to reduce human error, we believe that over the coming years AI will perform a significant amount of the diagn...
Decision Support Systems, Clinical Medical Informatics Applications Artificial Intelligence Computer Simulation Biomedical Research Humans
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miRiaD: A Text Mining Tool for Detecting Associations of microRNAs with Diseases.

Journal of biomedical semantics Apr 29, 2016
BACKGROUND: MicroRNAs are increasingly being appreciated as critical players in human diseases, and questions concerning the role of microRNAs arise in many areas of biomedical research. There are several manually curated databases of microRNA-diseas...
Disease Semantics Biological Ontologies Biomedical Research MicroRNAs Natural Language Processing Internet Data Mining
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Applications of Deep Learning in Biomedicine.

Molecular pharmaceutics Mar 29, 2016
Increases in throughput and installed base of biomedical research equipment led to a massive accumulation of -omics data known to be highly variable, high-dimensional, and sourced from multiple often incompatible data platforms. While this data may b...
Nerve Net Biomedical Research Animals Drug Discovery Machine Learning Biomarkers Humans
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Supporting systematic reviews using LDA-based document representations.

Systematic reviews Nov 26, 2015
BACKGROUND: Identifying relevant studies for inclusion in a systematic review (i.e. screening) is a complex, laborious and expensive task. Recently, a number of studies has shown that the use of machine learning and text mining methods to automatical...
Support Vector Machine Data Mining Humans Models, Statistical Biomedical Research Decision Making, Computer-Assisted Review Literature as Topic
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Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.

Journal of biomedical informatics Oct 24, 2015
Machine Learning Electronic Health Records Biomedical Research Narration Natural Language Processing Information Storage and Retrieval Pattern Recognition, Automated Vocabulary, Controlled Terminology as Topic Medical Record Linkage
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An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining.

IEEE/ACM transactions on computational biology and bioinformatics Sep 14, 2015
In biomedical text mining tasks, distributed word representation has succeeded in capturing semantic regularities, but most of them are shallow-window based models, which are not sufficient for expressing the meaning of words. To represent words usin...
Data Mining Biomedical Research Semantics Models, Theoretical Unsupervised Machine Learning Protein Interaction Mapping Natural Language Processing
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Machine learning in burn care and research: A systematic review of the literature.

Burns : journal of the International Society for Burn Injuries Jul 29, 2015
BACKGROUND: To date, there are no reviews on machine learning (ML) in burn care. Considering the growth of ML in medicine and the complexities and challenges of burn care, this review specializes on ML applications in burn care. The objective was to ...
Survival Rate Biomedical Research Length of Stay Algorithms Humans Aminoglycosides Anti-Infective Agents Wound Healing Machine Learning Burns Body Surface Area
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Extracting biomedical events from pairs of text entities.

BMC bioinformatics Jul 13, 2015
BACKGROUND: Huge amounts of electronic biomedical documents, such as molecular biology reports or genomic papers are generated daily. Nowadays, these documents are mainly available in the form of unstructured free texts, which require heavy processin...
Support Vector Machine Data Mining Humans Biomedical Research Natural Language Processing Databases, Factual Knowledge Bases Computational Biology Models, Theoretical
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