AIMC Topic: Analysis of Variance

Clear Filters Showing 11 to 20 of 79 articles

Automated CT registration tool improves sensitivity to change in ventricular volume in patients with shunts and drains.

The British journal of radiology Jan 3, 2020
OBJECTIVE: CT is the mainstay imaging modality for assessing change in ventricular volume in patients with ventricular shunts or external ventricular drains (EVDs). We evaluated the performance of a novel fully automated CT registration and subtracti...
Drainage Ventriculoperitoneal Shunt Automation Ventriculostomy Aged, 80 and over Analysis of Variance Young Adult Cerebral Ventricles Adult Male Middle Aged Humans Tomography, X-Ray Computed Female Aged
View on PubMed DOI

Improved detection of Parkinsonian resting tremor with feature engineering and Kalman filtering.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Nov 5, 2019
OBJECTIVE: Accurate and reliable detection of tremor onset in Parkinson's disease (PD) is critical to the success of adaptive deep brain stimulation (aDBS) therapy. Here, we investigated the potential use of feature engineering and machine learning m...
Humans Machine Learning Algorithms Female Aged Rest Analysis of Variance Wavelet Analysis Tremor Subthalamic Nucleus Male Middle Aged Parkinson Disease Reaction Time Deep Brain Stimulation
View on PubMed DOI

Machine Learning Models for Analysis of Vital Signs Dynamics: A Case for Sepsis Onset Prediction.

Journal of healthcare engineering Nov 3, 2019
OBJECTIVE: Achieving accurate prediction of sepsis detection moment based on bedside monitor data in the intensive care unit (ICU). A good clinical outcome is more probable when onset is suspected and treated on time, thus early insight of sepsis ons...
Area Under Curve Aged, 80 and over Humans Models, Biological Young Adult Algorithms Machine Learning Adult Intensive Care Units Software Early Diagnosis Male Female Case-Control Studies Analysis of Variance Middle Aged Aged Vital Signs Diagnosis, Computer-Assisted Sepsis Adolescent Support Vector Machine
View on PubMed DOI

Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction.

PloS one Oct 7, 2019
One of the main technical challenges of PET/MRI is to achieve an accurate PET attenuation correction (AC) estimation. In current systems, AC is accomplished by generating an MRI-based surrogate computed tomography (CT) from which AC-maps are derived....
Positron-Emission Tomography Fluorodeoxyglucose F18 Analysis of Variance Female Aged Male Magnetic Resonance Imaging Multimodal Imaging Humans Neural Networks, Computer Algorithms Brain
View on PubMed DOI

[Prediction of chemotherapy response in primary osteosarcoma using the machine learning technique on radiomic data].

Bulletin du cancer Oct 3, 2019
INTRODUCTION: Osteosarcoma is the most common malignant bone tumor before 25 years of age. Response to neoadjuvant chemotherapy determines continuation of treatment and is also a powerful prognostic factor. There are currently no reliable ways to eva...
Predictive Value of Tests France Analysis of Variance Infant Chemotherapy, Adjuvant Adolescent Child, Preschool Child Antineoplastic Combined Chemotherapy Protocols Female Treatment Outcome Infant, Newborn Neoadjuvant Therapy Young Adult Magnetic Resonance Imaging Sensitivity and Specificity Humans Osteosarcoma Male Machine Learning Bone Neoplasms Retrospective Studies
View on PubMed DOI

Intelligent prediction of kinetic parameters during cutting manoeuvres.

Medical & biological engineering & computing Jun 15, 2019
Due to its capabilities in analysing injury risk, the ability to analyse an athlete's ground reaction force and joint moments is of high interest in sports biomechanics. However, using force plates for the kinetic measurements influences the athlete'...
Models, Biological Athletes Analysis of Variance Hip Joint Ankle Joint Humans Neural Networks, Computer Reproducibility of Results Biomechanical Phenomena Knee Joint Movement
View on PubMed DOI

Artificial Neural Networks (ANNs) and Response Surface Methodology (RSM) Approach for Modelling the Optimization of Chromium (VI) Reduction by Newly Isolated Strain NS-MIE from Agricultural Soil.

BioMed research international May 26, 2019
Numerous technologies and approaches have been used in the past few decades to remove hexavalent chromium (Cr[VI]) in wastewater and the environment. However, these conventional technologies are not economical and efficient in removing Cr(VI) at a ve...
Neural Networks, Computer Soil Phylogeny Agriculture Soil Pollutants Chromium Biodegradation, Environmental Analysis of Variance Acinetobacter
View on PubMed DOI

Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain.

Scientific reports Apr 23, 2019
There has been substantial interest in Mindfulness Training (MT) to understand how it can benefit healthy individuals as well as people with a broad range of health conditions. Research has begun to delineate associated changes in brain function. How...
Mindfulness Adult Male Electroencephalography Analysis of Variance Humans Neural Networks, Computer Brain Female
View on PubMed DOI

ECG Multilead Interval Estimation Using Support Vector Machines.

Journal of healthcare engineering Apr 15, 2019
This work reports a multilead interval measurement algorithm for a high-resolution digital electrocardiograph. The software enables off-line ECG processing including detection as well as an accurate multilead interval detection algorithm using sup...
Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Arrhythmias, Cardiac Heart Rate Analysis of Variance Algorithms Humans Databases, Factual Software Cardiovascular Diseases Case-Control Studies Diagnosis, Computer-Assisted
View on PubMed DOI

Influence of New Technologies on Post-Stroke Rehabilitation: A Comparison of Armeo Spring to the Kinect System.

Medicina (Kaunas, Lithuania) Apr 9, 2019
BACKGROUND: New technologies to improve post-stroke rehabilitation outcomes are of great interest and have a positive impact on functional, motor, and cognitive recovery. Identifying the most effective rehabilitation intervention is a recognized prio...
Memory Virtual Reality Exposure Therapy Upper Extremity Stroke Rehabilitation Spatial Navigation Exercise Therapy Attention Range of Motion, Articular Analysis of Variance Biomechanical Phenomena Male Middle Aged Anxiety Cognition Treatment Outcome Hand Strength Recovery of Function Robotics Double-Blind Method Humans Prospective Studies Female Aged
View on PubMed DOI
Popular Topics
Recent Journals