A comparative study on thyroid disease detection using K-nearest neighbor and Naive Bayes classification techniques
K Chandel, V Kunwar, S Sabitha, T Choudhury… - CSI transactions on …, 2016 - Springer
Data mining is an important research activity in the field of medical sciences since there is a
requirement of efficient methodologies for analyzing and detecting diseases. Data mining …
requirement of efficient methodologies for analyzing and detecting diseases. Data mining …
Individual detection of patients with Parkinson disease using support vector machine analysis of diffusion tensor imaging data: initial results
S Haller, S Badoud, D Nguyen… - American Journal …, 2012 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Brain MR imaging is routinely performed in the work-up of
suspected PD, yet its role is essentially limited to the exclusion of other pathologies. We …
suspected PD, yet its role is essentially limited to the exclusion of other pathologies. We …
Differentiation between Parkinson disease and other forms of Parkinsonism using support vector machine analysis of susceptibility-weighted imaging (SWI): initial …
S Haller, S Badoud, D Nguyen, I Barnaure… - European …, 2013 - Springer
Abstract Objectives To diagnose Parkinson disease (PD) at the individual level using pattern
recognition of brain susceptibility-weighted imaging (SWI). Methods We analysed brain SWI …
recognition of brain susceptibility-weighted imaging (SWI). Methods We analysed brain SWI …
The accuracy of the Microsoft Kinect V2 sensor for human gait analysis. A different approach for comparison with the ground truth
Several studies have examined the accuracy of the Kinect V2 sensor during gait analysis.
Usually the data retrieved by the Kinect V2 sensor are compared with the ground truth of …
Usually the data retrieved by the Kinect V2 sensor are compared with the ground truth of …
Metric learning for Parkinsonian identification from IMU gait measurements
Diagnosis of people with mild Parkinson's symptoms is difficult. Nevertheless, variations in
gait pattern can be utilised to this purpose, when measured via Inertial Measurement Units …
gait pattern can be utilised to this purpose, when measured via Inertial Measurement Units …
Identification of rice varieties and adulteration using gas chromatography-ion mobility spectrometry
X Ju, F Lian, H Ge, Y Jiang, Y Zhang, D Xu - IEEE Access, 2021 - ieeexplore.ieee.org
To solve the problems existing in traditional biochemical methods, such as complex sample
pretreatment requirements, tedious detection processes and low detection accuracies with …
pretreatment requirements, tedious detection processes and low detection accuracies with …
A factorized quaternion approach to determine the arm motions using triaxial accelerometers with anatomical and sensor constraints
GX Lee, KS Low - IEEE Transactions on Instrumentation and …, 2012 - ieeexplore.ieee.org
In this paper, we present a new factorized quaternion approach for determining the arm
limbs' orientation using triaxial accelerometers with consideration of anatomical and sensor …
limbs' orientation using triaxial accelerometers with consideration of anatomical and sensor …
Three-dimensional pattern features in finger tapping test for patients with Parkinson's disease
Finger tapping test is an important neuropsychological test to evaluate human motor
function. Most recent researches simplified the finger tapping motion as a scissors-like …
function. Most recent researches simplified the finger tapping motion as a scissors-like …
Characterization of spatiotemporally complex gait patterns using cross-correlation signatures
K Park, H Dankowicz, ET Hsiao-Wecksler - Gait & Posture, 2012 - Elsevier
We hypothesize that spatiotemporal joint coupling patterns during gait are closely
associated with musculoskeletal injury mechanics. Previous studies examining joint …
associated with musculoskeletal injury mechanics. Previous studies examining joint …
The rates of change of the stochastic trajectories of acceleration variability are a good predictor of normal aging and of the stage of Parkinson's disease
EB Torres - Frontiers in integrative neuroscience, 2013 - frontiersin.org
The accelerometer data from mobile smart phones provide stochastic trajectories that
change over time. This rate of change is unique to each person and can be well …
change over time. This rate of change is unique to each person and can be well …