AIMC Topic: Research Design
Clear Filters Showing 371 to 380 of 646 articles
New Sensor Data Structuring for Deeper Feature Extraction in Human Activity Recognition.
Sensors (Basel, Switzerland)
Apr 16, 2021
For the effective application of thriving human-assistive technologies in healthcare services and human-robot collaborative tasks, computing devices must be aware of human movements. Developing a reliable real-time activity recognition method for the...
Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation.
Journal of medical Internet research
Apr 14, 2021
BACKGROUND: The COVID-19 pandemic is probably the greatest health catastrophe of the modern era. Spain's health care system has been exposed to uncontrollable numbers of patients over a short period, causing the system to collapse. Given that diagnos...
Artificial intelligence to deep learning: machine intelligence approach for drug discovery.
Molecular diversity
Apr 12, 2021
Drug designing and development is an important area of research for pharmaceutical companies and chemical scientists. However, low efficacy, off-target delivery, time consumption, and high cost impose a hurdle and challenges that impact drug design a...
Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models.
Sensors (Basel, Switzerland)
Apr 12, 2021
Sentiment prediction remains a challenging and unresolved task in various research fields, including psychology, neuroscience, and computer science. This stems from its high degree of subjectivity and limited input sources that can effectively captur...
Iterative guided machine learning-assisted systematic literature reviews: a diabetes case study.
Systematic reviews
Apr 2, 2021
BACKGROUND: Systematic Reviews (SR), studies of studies, use a formal process to evaluate the quality of scientific literature and determine ensuing effectiveness from qualifying articles to establish consensus findings around a hypothesis. Their val...
A novel end-to-end method to predict RNA secondary structure profile based on bidirectional LSTM and residual neural network.
BMC bioinformatics
Mar 31, 2021
BACKGROUND: Studies have shown that RNA secondary structure, a planar structure formed by paired bases, plays diverse vital roles in fundamental life activities and complex diseases. RNA secondary structure profile can record whether each base is pai...
Uncovering the structure of clinical EEG signals with self-supervised learning.
Journal of neural engineering
Mar 31, 2021
Supervised learning paradigms are often limited by the amount of labeled data that is available. This phenomenon is particularly problematic in clinically-relevant data, such as electroencephalography (EEG), where labeling can be costly in terms of s...
Machine learning for identifying relevant publications in updates of systematic reviews of diagnostic test studies.
Research synthesis methods
Mar 28, 2021
Updating systematic reviews is often a time-consuming process that involves a lot of human effort and is therefore not conducted as often as it should be. The aim of our research project was to explore the potential of machine learning methods to red...
"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware attention framework for relationship extraction.
PloS one
Mar 25, 2021
With the increasing legalization of medical and recreational use of cannabis, more research is needed to understand the association between depression and consumer behavior related to cannabis consumption. Big social media data has potential to provi...
Raising the Bar for Randomized Trials Involving Artificial Intelligence: The SPIRIT-Artificial Intelligence and CONSORT-Artificial Intelligence Guidelines.
The Journal of investigative dermatology
Mar 22, 2021
Artificial intelligence (AI)-based applications have the potential to improve the quality and efficiency of patient care in dermatology. Unique challenges in the development and validation of these technologies may limit their generalizability and re...
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