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Surveys

Latest AI and machine learning research in surveys for healthcare professionals.

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Machine Learning in Clinical Psychology and Psychotherapy Education: A Mixed Methods Pilot Survey of Postgraduate Students at a Swiss University.

There is increasing use of psychotherapy apps in mental health care. This mixed methods pilot stud...

Apr 2021 33898374
A convolutional neural network to identify motor units from high-density surface electromyography signals in real time.

. This paper aims to investigate the feasibility and the validity of applying deep convolutional neu...

Apr 2021 33721852
Extracting Cause of Death From Verbal Autopsy With Deep Learning Interpretable Methods.

The international standard to ascertain the cause of death is medical certification. However, in man...

(2)
Apr 2021 32749982
Development and feasibility of a soft pneumatic-robotic glove to assist impaired hand function in quadriplegia patients: A pilot study.

One of the common disorders in people with quadriplegia is having a weak grip strength that can affe...

(1)
Apr 2021 34391314
Predicting innovative firms using web mining and deep learning.

Evidence-based STI (science, technology, and innovation) policy making requires accurate indicators ...

Apr 2021 33793626
Reducing bias to source samples for unsupervised domain adaptation.

Unsupervised Domain Adaptation (UDA) makes predictions for the target domain data while labels are o...

(1)
Mar 2021 33866303
Validation of a Novel Simulation-Based Test in Robot-Assisted Radical Prostatectomy.

To investigate validity evidence for a simulator-based test in robot-assisted radical prostatectomy...

(1)
Mar 2021 33530867
Application of artificial intelligence in diagnosis of osteoporosis using medical images: a systematic review and meta-analysis.

Artificial intelligence (AI) is a potentially reliable assistant in the diagnosis of osteoporosis. T...

(1)
Feb 2021 33640997
Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints.

Background and purpose - Machine learning (ML) techniques are a form of artificial intelligence able...

Feb 2021 33573429
Reliability modelling of resting-state functional connectivity.

Resting-state functional magnetic resonance imaging (rs-fMRI) has an inherently low signal-to-noise ...

(1)
Feb 2021 33581291
The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations.

There is clear evidence to suggest that diabetes does not affect all populations equally. Among adul...

(2)
Feb 2021 33565982
Statistical foundation of Variational Bayes neural networks.

Despite the popularism of Bayesian neural networks (BNNs) in recent years, its use is somewhat limit...

Feb 2021 33607444
A new health prediction model for a sensor network based on belief rule base with attribute reliability.

Health prediction plays an essential role in improving the reliability of a sensor network by guidin...

Feb 2021 33531595
Verifying explainability of a deep learning tissue classifier trained on RNA-seq data.

For complex machine learning (ML) algorithms to gain widespread acceptance in decision making, we mu...

Jan 2021 33514769
Denoising non-steady state dynamic PET data using a feed-forward neural network.

The quality of reconstructed dynamic PET images, as well as the statistical reliability of the estim...

Jan 2021 33238255
Judges' evaluation reliability changes between identifiable and anonymous performance of hip-hop dance movements.

Hip-hop competitions are performed across the world. In the recent inclusion in the 2018 Youth Olymp...

Jan 2021 33493189
Co-designing diagnosis: Towards a responsible integration of Machine Learning decision-support systems in medical diagnostics.

RATIONALE: This paper aims to show how the focus on eradicating bias from Machine Learning decision-...

Jan 2021 33480150
Validity and precision of the International Physical Activity Questionnaire for climacteric women using computational intelligence techniques.

This study aimed to evaluate the validity and precision of the International Physical Activity Quest...

Jan 2021 33444409
On-Device Reliability Assessment and Prediction of Missing Photoplethysmographic Data Using Deep Neural Networks.

Photoplethysmographic (PPG) measurements from ambulatory subjects may suffer from unreliability due ...

Dec 2020 33026985
Comparing the Ability of Regression Modeling and Bayesian Additive Regression Trees to Predict Costs in a Responsive Survey Design Context.

Responsive survey designs rely upon incoming data from the field data collection to optimize cost an...

Dec 2020 34092894
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