AIMC Topic: Empirical Research

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Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting.

Journal of medical Internet research Dec 16, 2020
BACKGROUND: Despite excellent prediction performance, noninterpretability has undermined the value of applying deep-learning algorithms in clinical practice. To overcome this limitation, attention mechanism has been introduced to clinical research as...
Humans Reproducibility of Results Deep Learning Diabetes Mellitus Empirical Research Algorithms Research Design Republic of Korea
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An empirical characterization of fair machine learning for clinical risk prediction.

Journal of biomedical informatics Nov 18, 2020
The use of machine learning to guide clinical decision making has the potential to worsen existing health disparities. Several recent works frame the problem as that of algorithmic fairness, a framework that has attracted considerable attention and c...
Delivery of Health Care Empirical Research Machine Learning
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Ethics of socially assistive robots in aged-care settings: a socio-historical contextualisation.

Journal of medical ethics Dec 9, 2019
Different embodiments of technology permeate all layers of public and private domains in society. In the public domain of aged care, attention is increasingly focused on the use of socially assistive robots (SARs) supporting caregivers and older adul...
Humans Philosophy Intuition Morals Caregivers Nursing Homes Decision Making Aged Empirical Research Robotics Aged, 80 and over Homes for the Aged Social Isolation Communication Knowledge Social Interaction
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Automated detection of hippocampal sclerosis using clinically empirical and radiomics features.

Epilepsia Nov 25, 2019
OBJECTIVE: Temporal lobe epilepsy is a common form of epilepsy that might be amenable to surgery. However, magnetic resonance imaging (MRI)-negative hippocampal sclerosis (HS) can hamper early diagnosis and surgical intervention for patients in clini...
Cohort Studies Hippocampus Drug Resistant Epilepsy Empirical Research Sclerosis Adult Male Adolescent Retrospective Studies Female Young Adult Humans Machine Learning
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Abstract art paintings, global image properties, and verbal descriptions: An empirical and computational investigation.

Acta psychologica Nov 16, 2019
While global image properties (GIPs) relate to preference ratings in many categories of visual stimuli, this relationship is typically not seen for abstract art paintings. Using computational network science and empirical methods, we further investig...
Male Adolescent Random Allocation Female Young Adult Adult Verbal Behavior Empirical Research Paintings Photic Stimulation Visual Perception Esthetics Humans Neural Networks, Computer
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Molecular expression profiles of morphologically defined hippocampal neuron types: Empirical evidence and relational inferences.

Hippocampus Oct 9, 2019
Gene and protein expressions are key determinants of cellular function. Neurons are the building blocks of brain circuits, yet the relationship between their molecular identity and the spatial distribution of their dendritic inputs and axonal outputs...
Neurons Knowledge Bases Humans Data Mining Hippocampus Empirical Research Transcriptome
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An Empirical Study on the Artificial Intelligence Writing Evaluation System in China CET.

Big data May 10, 2019
The Artificial Intelligence Writing Evaluation system is widely used in China College English writing. It provides for both teachers and the English learners services of automated composition evaluation on the net in order that teacher's working load...
Writing Students Humans Artificial Intelligence Faculty China Universities Empirical Research
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Classification of gait patterns between patients with Parkinson's disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks.

Neural networks : the official journal of the International Neural Network Society Jan 6, 2019
Parkinson's disease (PD) is a common neurodegenerative disorder that affects human's quality of life, especially leading to locomotor deficits such as postural instability and gait disturbances. Gait signal is one of the best features to characterize...
Gait Middle Aged Healthy Volunteers Quality of Life Female Empirical Research Humans Parkinson Disease Aged Neural Networks, Computer Male
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A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network.

PloS one Feb 8, 2018
In this paper, we propose a hybrid method to forecast the stock prices called High-order-fuzzy-fluctuation-Trends-based Back Propagation(HTBP)Neural Network model. First, we compare each value of the historical training data with the previous day's v...
Neural Networks, Computer Algorithms Investments Forecasting Empirical Research Fuzzy Logic Taiwan
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Predictive time-series modeling using artificial neural networks for Linac beam symmetry: an empirical study.

Annals of the New York Academy of Sciences Sep 14, 2016
Over half of cancer patients receive radiotherapy (RT) as partial or full cancer treatment. Daily quality assurance (QA) of RT in cancer treatment closely monitors the performance of the medical linear accelerator (Linac) and is critical for continuo...
In Vivo Dosimetry Quality Assurance, Health Care Radiosurgery Neoplasms Empirical Research Forecasting Humans Computational Biology Kinetics Regression Analysis Longitudinal Studies Models, Biological Databases, Factual Neural Networks, Computer Bayes Theorem Reproducibility of Results Machine Learning
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