AIMC Topic: Biomedical Research

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Will Machine Learning Enable Us to Finally Cut the Gordian Knot of Schizophrenia.

Schizophrenia bulletin Aug 20, 2018
Humans Schizophrenia Datasets as Topic Machine Learning Biomedical Research
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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.
Logistic Models Support Vector Machine Machine Learning Biomedical Research PubMed Natural Language Processing Publications
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Visible Machine Learning for Biomedicine.

Cell Jun 14, 2018
A major ambition of artificial intelligence lies in translating patient data to successful therapies. Machine learning models face particular challenges in biomedicine, however, including handling of extreme data heterogeneity and lack of mechanistic...
Machine Learning Algorithms Biomedical Research Computational Biology
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Mechanistic models versus machine learning, a fight worth fighting for the biological community?

Biology letters May 1, 2018
Ninety per cent of the world's data have been generated in the last 5 years ( Report no. DES4702. Issued April 2017. Royal Society). A small fraction of these data is collected with the aim of validating specific hypotheses. These studies are led by ...
Models, Biological Patient Outcome Assessment Biomedical Research Humans Machine Learning Data Analysis
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An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition.

Bioinformatics (Oxford, England) Apr 15, 2018
MOTIVATION: In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information extraction. However, most popular chemical NER methods are based o...
Chemistry Data Mining Terminology as Topic Neural Networks, Computer Biomedical Research
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Opportunities and obstacles for deep learning in biology and medicine.

Journal of the Royal Society, Interface Apr 1, 2018
Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine ar...
Delivery of Health Care Disease Electronic Health Records Deep Learning Terminology as Topic Decision Making Humans Biomedical Technology Biomedical Research Algorithms Drug Design
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Machine learning in pain research.

Pain Apr 1, 2018
Machine Learning Biomedical Research Pain Disease Management Humans
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The Potential of Quantum Computing and Machine Learning to Advance Clinical Research and Change the Practice of Medicine.

Missouri medicine Jan 1, 2018
Quantum Theory Humans Delivery of Health Care Machine Learning Biomedical Research
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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, ...
Algorithms Biomedical Research Neural Networks, Computer Data Mining Natural Language Processing Semantics Publications
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Automatic Processing of Anatomic Pathology Reports in the Italian Language to Enhance the Reuse of Clinical Data.

Studies in health technology and informatics Jan 1, 2018
Medical reports often contain a lot of relevant information in the form of free text. To reuse these unstructured texts for biomedical research, it is important to extract structured data from them. In this work, we adapted a previously developed inf...
Natural Language Processing Italy Language Data Mining Biomedical Research Information Storage and Retrieval Humans
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