Analysis of regional cerebral blood flow data to discriminate among Alzheimer's disease, frontotemporal dementia, and elderly controls: a multi-block barycentric …
We present a generalization of mean-centered partial least squares correlation called
multiblock barycentric discriminant analysis (MUBADA) that integrates multiple regions of …
multiblock barycentric discriminant analysis (MUBADA) that integrates multiple regions of …
Linguistic changes in neurodegenerative diseases relate to clinical symptoms
M Gumus, M Koo, CM Studzinski, A Bhan… - Frontiers in …, 2024 - frontiersin.org
Background The detection and characterization of speech changes may help in the
identification and monitoring of neurodegenerative diseases. However, there is limited …
identification and monitoring of neurodegenerative diseases. However, there is limited …
The use of principal component analysis and logistic regression in prediction of infertility treatment outcome
AJ Milewska, D Jankowska, D Citko… - Studies in Logic …, 2014 - sciendo.com
Principal Component Analysis is one of the data mining methods that can be used to
analyze multidimensional datasets. The main objective of this method is a reduction of the …
analyze multidimensional datasets. The main objective of this method is a reduction of the …
Design of intrusion detection system to detect black hole attack using principal component analysis in wireless ad-hoc network comparing with decision tree classifier
A Korsapati, TJ Nagalakshmi - AIP Conference Proceedings, 2024 - pubs.aip.org
The main aim of this work is to design two intrusion detection systems to detect black hole
attack in a wireless ad-hoc network using the Principal component analysis algorithm …
attack in a wireless ad-hoc network using the Principal component analysis algorithm …
Design of intrusion detection system to detect black hole attack using random forest technique in wireless ad hoc network comparing with decision tree algorithm
A Korsapati, TJ Nagalakshmi - AIP Conference Proceedings, 2024 - pubs.aip.org
Aim: The aim of the work is to design two intrusion detection systems to detect black hole
attack in the wireless ad-hoc network using the Random Forest technique (Group 1) and …
attack in the wireless ad-hoc network using the Random Forest technique (Group 1) and …
Simulation of surgery effect on cerebral palsy gait by supervised machine learning
COA Galarraga - 2017 - hal.science
Cerebral Palsy frequently leads to gait troubles. After a physical examination and a Clinical
Gait Analysis (CGA), these walking troubles are usually treated by orthopedic surgery, called …
Gait Analysis (CGA), these walking troubles are usually treated by orthopedic surgery, called …
(I123) FP-CIT reporting: Machine Learning, Effectiveness and Clinical Integration
J Taylor - 2019 - etheses.whiterose.ac.uk
(I123) FP-CIT imaging is used for differential diagnosis of clinically uncertain Parkinsonian
Syndromes. Conventional reporting relies on visual interpretation of images and analysis of …
Syndromes. Conventional reporting relies on visual interpretation of images and analysis of …
[PDF][PDF] Florbetaben Amyloid Imaging for cognitive impairment in Parkinson's disease
G Kaur - 2016 - ir.canterbury.ac.nz
Objective: To determine using amyloid Positron Emission Tomographic (PET) imaging,
whether amyloid burden indicated by Florbetaben (FBB) radiotracer, could predict cognitive …
whether amyloid burden indicated by Florbetaben (FBB) radiotracer, could predict cognitive …