AIMC Topic: Biomedical Research
Clear Filters Showing 271 to 280 of 581 articles
Achievability to Extract Specific Date Information for Cancer Research.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Mar 4, 2020
Accurate identification of temporal information such as date is crucial for advancing cancer research which often requires precise date information associated with related cancer events. However, there is a gap for existing natural language processin...
Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis.
Journal of medical Internet research
Feb 25, 2020
BACKGROUND: With the continuous development of the internet and the explosive growth in data, big data technology has emerged. With its ongoing development and application, cloud computing technology provides better data storage and analysis. The dev...
Machine Learning Applications for optimized mental health outcomes in Asia: Translating Hype to Hope.
Asian journal of psychiatry
Feb 24, 2020
Fitting prediction rule ensembles to psychological research data: An introduction and tutorial.
Psychological methods
Feb 10, 2020
Prediction rule ensembles (PREs) are a relatively new statistical learning method, which aim to strike a balance between predictive performance and interpretability. Starting from a decision tree ensemble, like a boosted tree ensemble or a random for...
Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research.
Respiratory research
Feb 7, 2020
BACKGROUND: Ventilator-associated pneumonia (VAP) is a significant cause of mortality in the intensive care unit. Early diagnosis of VAP is important to provide appropriate treatment and reduce mortality. Developing a noninvasive and highly accurate ...
Quantitative knowledge presentation models of traditional Chinese medicine (TCM): A review.
Artificial intelligence in medicine
Jan 24, 2020
Modern computer technology sheds light on new ways of innovating Traditional Chinese Medicine (TCM). One method that gets increasing attention is the quantitative research method, which makes use of data mining and artificial intelligence technology ...
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI).
Artificial intelligence in medicine
Jan 13, 2020
Over the years, there has been growing interest in using machine learning techniques for biomedical data processing. When tackling these tasks, one needs to bear in mind that biomedical data depends on a variety of characteristics, such as demographi...
Big data and data sharing: Opportunities for the urgent challenges in cardiovascular disease.
European journal of clinical investigation
Jan 1, 2020
Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Editorial Board.
Radiology
Dec 31, 2019
Topic-informed neural approach for biomedical event extraction.
Artificial intelligence in medicine
Dec 30, 2019
As a crucial step of biological event extraction, event trigger identification has attracted much attention in recent years. Deep representation methods, which have the superiorities of less feature engineering and end-to-end training, show better pe...
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