AIMC Topic: Periodicals as Topic

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Examining the concept of equity in community psychology with natural language processing.

Journal of community psychology May 18, 2021
Large amounts of text-based data, like study abstracts, often go unanalyzed because the task is laborious. Natural language processing (NLP) uses computer-based algorithms not traditionally implemented in community psychology to effectively and effic...
Health Equity Periodicals as Topic Humans Natural Language Processing Knowledge Discovery Community Psychiatry Social Determinants of Health Community-Based Participatory Research
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Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing.

Annual review of biomedical data science May 14, 2021
The COVID-19 (coronavirus disease 2019) pandemic has had a significant impact on society, both because of the serious health effects of COVID-19 and because of public health measures implemented to slow its spread. Many of these difficulties are fund...
Pandemics COVID-19 Humans Software Data Mining Datasets as Topic Information Storage and Retrieval Knowledge Discovery Communication Emotions Natural Language Processing Periodicals as Topic
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Publishing Artificial Intelligence Research Papers: A Tale of Three Journals.

Artificial intelligence in medicine Feb 13, 2021
Artificial Intelligence Editorial Policies Publishing Periodicals as Topic Humans
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Publishing artificial intelligence research papers: A tale of three journals.

Journal of biomedical informatics Feb 5, 2021
Publishing Periodicals as Topic Artificial Intelligence Bibliometrics
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Recommendations for Reporting Machine Learning Analyses in Clinical Research.

Circulation. Cardiovascular quality and outcomes Oct 14, 2020
Use of machine learning (ML) in clinical research is growing steadily given the increasing availability of complex clinical data sets. ML presents important advantages in terms of predictive performance and identifying undiscovered subpopulations of ...
Data Accuracy Data Interpretation, Statistical Periodicals as Topic Machine Learning Research Design Editorial Policies Biomedical Research Humans
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Inconsistency in the use of the term "validation" in studies reporting the performance of deep learning algorithms in providing diagnosis from medical imaging.

PloS one Sep 11, 2020
BACKGROUND: The development of deep learning (DL) algorithms is a three-step process-training, tuning, and testing. Studies are inconsistent in the use of the term "validation", with some using it to refer to tuning and others testing, which hinders ...
Machine Learning Algorithms Validation Studies as Topic Humans Diagnostic Imaging Journal Impact Factor Periodicals as Topic
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Artificial Intelligence in Drug Discovery: Into the Great Wide Open.

Journal of medicinal chemistry Jul 8, 2020
Humans Periodicals as Topic Machine Learning Drug Discovery
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Estimating the deep replicability of scientific findings using human and artificial intelligence.

Proceedings of the National Academy of Sciences of the United States of America May 4, 2020
Replicability tests of scientific papers show that the majority of papers fail replication. Moreover, failed papers circulate through the literature as quickly as replicating papers. This dynamic weakens the literature, raises research costs, and dem...
Reproducibility of Results Periodicals as Topic Psychology Machine Learning Peer Review Humans
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Comparing Different Methods for Named Entity Recognition in Portuguese Neurology Text.

Journal of medical systems Feb 28, 2020
Electronic Medical Records (EMRs) are written in an unstructured way, often using natural language. Information Extraction (IE) may be used for acquiring knowledge from such texts, including the automatic recognition of meaningful entities, through m...
Portugal Humans Language Periodicals as Topic Deep Learning Neurology Natural Language Processing
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Abstractive summarization of long texts by representing multiple compositionalities with temporal hierarchical pointer generator network.

Neural networks : the official journal of the International Neural Network Society Dec 31, 2019
In order to tackle the problem of abstractive summarization of long multi-sentence texts, it is critical to construct an efficient model, which can learn and represent multiple compositionalities better. In this paper, we introduce a temporal hierarc...
Word Processing Machine Learning Periodicals as Topic
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