AIMC Topic: Periodicals as Topic

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A New Home for a Vital Conversation: Introducing the ALife Societal Impact Section and Going Back to Bio-Inspiration for the Internet.

Artificial life Oct 6, 2017
Editorial Policies Internet Periodicals as Topic Artificial Intelligence
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Editorial.

Bio Systems Sep 18, 2017
Humans Brain Neural Networks, Computer Periodicals as Topic
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Big data in forensic science and medicine.

Journal of forensic and legal medicine Aug 12, 2017
In less than a decade, big data in medicine has become quite a phenomenon and many biomedical disciplines got their own tribune on the topic. Perspectives and debates are flourishing while there is a lack for a consensual definition for big data. The...
Data Mining Humans Datasets as Topic Periodicals as Topic Forensic Sciences
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Leveraging syntax to better capture the semantics of elliptical coordinated compound noun phrases.

Journal of biomedical informatics Jul 4, 2017
Full-text scientific articles are increasingly available, but capturing the meaning conveyed within an article automatically remains a bottleneck for semantic search and reasoning systems. In this paper we consider elliptical coordinated compound nou...
Semantics Periodicals as Topic Data Mining Humans Language Natural Language Processing
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Using classification models for the generation of disease-specific medications from biomedical literature and clinical data repository.

Journal of biomedical informatics Apr 20, 2017
OBJECTIVE: Mining disease-specific associations from existing knowledge resources can be useful for building disease-specific ontologies and supporting knowledge-based applications. Many association mining techniques have been exploited. However, the...
Databases as Topic Biological Ontologies Periodicals as Topic Humans Publications Machine Learning Disease Data Mining
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Editorial from the new Editor-in-Chief: Artificial Intelligence in Medicine and the forthcoming challenges.

Artificial intelligence in medicine Feb 6, 2017
Humans Biomedical Research Computational Biology Periodicals as Topic Artificial Intelligence Medicine Editorial Policies
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Advanced literature analysis in a Big Data world.

Annals of the New York Academy of Sciences Nov 10, 2016
Comprehensive data mining of the scientific literature has become an increasing challenge. To address this challenge, Elsevier's Pathway Studio software uses the techniques of natural language processing to systematically extract specific biological ...
Database Management Systems Databases, Bibliographic Abstracting and Indexing National Institute of Mental Health (U.S.) Mass Screening Natural Language Processing Periodicals as Topic Translational Research, Biomedical Schizophrenia Data Mining Bipolar Disorder Computational Biology United States Depressive Disorder, Major Anxiety Disorders Software Mental Disorders Biomarkers Humans Prognosis Biomedical Research Animals
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ChemDataExtractor: A Toolkit for Automated Extraction of Chemical Information from the Scientific Literature.

Journal of chemical information and modeling Oct 6, 2016
The emergence of "big data" initiatives has led to the need for tools that can automatically extract valuable chemical information from large volumes of unstructured data, such as the scientific literature. Since chemical information can be present i...
Humans Cluster Analysis Natural Language Processing Pattern Recognition, Automated Periodicals as Topic Databases, Chemical Data Mining
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Use of a Machine-learning Method for Predicting Highly Cited Articles Within General Radiology Journals.

Academic radiology Sep 28, 2016
RATIONALE AND OBJECTIVES: This study aimed to assess the performance of a text classification machine-learning model in predicting highly cited articles within the recent radiological literature and to identify the model's most influential article fe...
Periodicals as Topic Publications Journal Impact Factor Radiology Bayes Theorem Publishing Bibliometrics Area Under Curve Humans Machine Learning
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[Medial Stigmatization of Mentally Ill Persons after the "Germanwings"-Crash].

Psychiatrische Praxis Feb 9, 2016
OBJECTIVE: The present study was designed to investigate the frequency of media stigmatization of mentally ill persons after the crash of the "Germanwings"-aircraft on March 2015.
Disasters Accidents, Aviation Stereotyping Humans Germany Depressive Disorder, Major Social Stigma Retrospective Studies Suicide Periodicals as Topic Pilots Journalism, Medical Persons with Psychiatric Disorders Newspapers as Topic
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