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Surveys

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

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The FUTUREPAIN study: Validating a questionnaire to predict the probability of having chronic pain 7-10 years into the future.

OBJECTIVES: The FUTUREPAIN study develops a short general-purpose questionnaire, based on the biopsy...

(1)
Aug 2020 32817710
A deep learning-based method for improving reliability of multicenter diffusion kurtosis imaging with varied acquisition protocols.

Multicenter magnetic resonance imaging is gaining more popularity in large-sample projects. Since bo...

(5)
Aug 2020 32822818
Evolution and impact of bias in human and machine learning algorithm interaction.

Traditionally, machine learning algorithms relied on reliable labels from experts to build predictio...

Aug 2020 32790666
On the use of machine learning algorithms in forensic anthropology.

The classification performance of the statistical methods binary logistic regression (BLR), multinom...

Aug 2020 32795933
Improving the Reliability of Pharmacokinetic Parameters at Dynamic Contrast-enhanced MRI in Astrocytomas: A Deep Learning Approach.

Background Pharmacokinetic (PK) parameters obtained from dynamic contrast agent-enhanced (DCE) MRI e...

Aug 2020 32749203
Test-Retest Reliability of Kinematic Assessments for Upper Limb Robotic Rehabilitation.

Robot-measured kinematic variables are increasingly used in neurorehabilitation to characterize moto...

Aug 2020 32746329
Reliability of the thumb localizing test and its validity against quantitative measures with a robotic device in patients with hemiparetic stroke.

OBJECTIVES: To examine the inter-rater reliability of the thumb localizing test (TLT) and its validi...

(1)
Jul 2020 32706817
Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model.

It is an essential task to estimate the remaining useful life (RUL) of machinery in the mining secto...

Jul 2020 32667940
A knowledge-based system to find over-the-counter medicines for self-medication.

This study developed a medicine query system based on Semantic Web and open data especially for self...

(1)
Jul 2020 32673790
Investigating object compositionality in Generative Adversarial Networks.

Deep generative models seek to recover the process with which the observed data was generated. They ...

(1)
Jul 2020 32736226
Machine learning for genetic prediction of psychiatric disorders: a systematic review.

Machine learning methods have been employed to make predictions in psychiatry from genotypes, with t...

(2)
Jun 2020 32591634
Big Data Driven Detection of Trees in Suburban Scenes Using Visual Spectrum Eye Level Photography.

The aim of the work described in this paper is to detect trees in eye level view images. Unlike prev...

May 2020 32481523
Deep learning-guided joint attenuation and scatter correction in multitracer neuroimaging studies.

PET attenuation correction (AC) on systems lacking CT/transmission scanning, such as dedicated brain...

(1)
May 2020 32436261
Automated detection of the head-twitch response using wavelet scalograms and a deep convolutional neural network.

Hallucinogens induce the head-twitch response (HTR), a rapid reciprocal head movement, in mice. Alth...

May 2020 32433580
The Moral Choice Machine.

Allowing machines to choose whether to kill humans would be devastating for world peace and security...

(1)
May 2020 33733154
Correlation of Measured and Estimated Creatinine Clearance in Hospitalized Elderly Patients: A Retrospective Cohort Study.

Accurate assessment of renal function is essential in hospitalized elderly patients. Few studies ha...

May 2020 34720148
Measurement and identification of mental workload during simulated computer tasks with multimodal methods and machine learning.

This study attempted to multimodally measure mental workload and validate indicators for estimating ...

May 2020 32330080
Artificial intelligence in glioma imaging: challenges and advances.

Primary brain tumors including gliomas continue to pose significant management challenges to clinici...

Apr 2020 32191935
Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys.

Modern survey methods may be subject to non-observable bias, from various sources. Among online surv...

Apr 2020 32320429
Two judging criteria to check validity of a model for filling gaps caused by incomplete geospatial data.

Many models can be used to fill the gaps caused by incomplete geospatial data. But not all are valid...

Apr 2020 32380243
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