AIMC Topic: Biomedical Research
Clear Filters Showing 291 to 300 of 581 articles
Neural network-based approaches for biomedical relation classification: A review.
Journal of biomedical informatics
Sep 23, 2019
The explosive growth of biomedical literature has created a rich source of knowledge, such as that on protein-protein interactions (PPIs) and drug-drug interactions (DDIs), locked in unstructured free text. Biomedical relation classification aims to ...
An Ophthalmologist's Guide to Deciphering Studies in Artificial Intelligence.
Ophthalmology
Sep 21, 2019
Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Sep 12, 2019
PURPOSE: The required training sample size for a particular machine learning (ML) model applied to medical imaging data is often unknown. The purpose of this study was to provide a descriptive review of current sample-size determination methodologies...
Machine learning in psychiatry- standards and guidelines.
Asian journal of psychiatry
Sep 10, 2019
Multiple-level biomedical event trigger recognition with transfer learning.
BMC bioinformatics
Sep 6, 2019
BACKGROUND: Automatic extraction of biomedical events from literature is an important task in the understanding biological systems, allowing for faster update of the latest discoveries automatically. Detecting trigger words which indicate events is a...
Towards a characterization of apparent contradictions in the biomedical literature using context analysis.
Journal of biomedical informatics
Aug 29, 2019
BACKGROUND: With the substantial growth in the biomedical research literature, a larger number of claims are published daily, some of which seemingly disagree with or contradict prior claims on the same topics. Resolving such contradictions is critic...
Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease.
Journal of the American Heart Association
Aug 27, 2019
Artificial Intelligence in Health: New Opportunities, Challenges, and Practical Implications.
Yearbook of medical informatics
Aug 16, 2019
OBJECTIVES: To summarise the state of the art during the year 2018 in consumer health informatics and education, with a special emphasis on the special topic of the International Medical Informatics Association (IMIA) Yearbook for 2019: "Artificial i...
Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective.
Yearbook of medical informatics
Aug 16, 2019
OBJECTIVES: There exists a communication gap between the biomedical informatics community on one side and the computer science/artificial intelligence community on the other side regarding the meaning of the terms "semantic integration" and "knowledg...
Global Trend in Artificial Intelligence-Based Publications in Radiology From 2000 to 2018.
AJR. American journal of roentgenology
Aug 15, 2019
The purpose of this study is to evaluate the global trend in artificial intelligence (AI)-based research productivity involving radiology and its subspecialty disciplines. The United States is the global leader in AI radiology publication productiv...
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