AIMC Topic: Data Interpretation, Statistical
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A unified non-linear approach based on recurrence quantification analysis and approximate entropy: application to the classification of heart rate variability of age-stratified subjects.
Medical & biological engineering & computing
Nov 3, 2018
This paper presents a unified approach based on the recurrence quantification analysis (RQA) and approximate entropy (ApEn) for the classification of heart rate variability (HRV). In this paper, the optimum tolerance threshold (r) corresponding to Ap...
WEADE: A workflow for enrichment analysis and data exploration.
PloS one
Sep 28, 2018
Data analysis based on enrichment of Gene Ontology terms has become an important step in exploring large gene or protein expression datasets and several stand-alone or web tools exist for that purpose. However, a comprehensive and consistent analysis...
Identify and monitor clinical variation using machine intelligence: a pilot in colorectal surgery.
Journal of clinical monitoring and computing
Sep 24, 2018
Standardized clinical pathways are useful tool to reduce variation in clinical management and may improve quality of care. However the evidence supporting a specific clinical pathway for a patient or patient population is often imperfect limiting ado...
Colorectal Surgery
Ketorolac
Patient Compliance
Patient Readmission
Medical Informatics
Pilot Projects
Monitoring, Intraoperative
Treatment Outcome
Infusions, Intravenous
Data Interpretation, Statistical
Signal Processing, Computer-Assisted
Colonic Neoplasms
Software
Algorithms
Inflammatory Bowel Diseases
Reproducibility of Results
Humans
Artificial Intelligence
Machine Learning
Digital diabetes: Perspectives for diabetes prevention, management and research.
Diabetes & metabolism
Sep 19, 2018
Digital medicine, digital research and artificial intelligence (AI) have the power to transform the field of diabetes with continuous and no-burden remote monitoring of patients' symptoms, physiological data, behaviours, and social and environmental ...
Application of identity vectors for EEG classification.
Journal of neuroscience methods
Sep 19, 2018
BACKGROUND: Finding an optimal EEG subject verification algorithm is a long standing goal within the EEG community. For every advancement made, another feature set, classifier, or dataset is often introduced; tracking improvements in classification w...
A robust data-driven approach identifies four personality types across four large data sets.
Nature human behaviour
Sep 17, 2018
Understanding human personality has been a focus for philosophers and scientists for millennia. It is now widely accepted that there are about five major personality domains that describe the personality profile of an individual. In contrast to perso...
Regularized aggregation of statistical parametric maps.
Human brain mapping
Sep 5, 2018
Combining statistical parametric maps (SPM) from individual subjects is the goal in some types of group-level analyses of functional magnetic resonance imaging data. Brain maps are usually combined using a simple average across subjects, making them ...
Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease.
PloS one
Aug 31, 2018
Prognostic modelling is important in clinical practice and epidemiology for patient management and research. Electronic health records (EHR) provide large quantities of data for such models, but conventional epidemiological approaches require signifi...
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.
NeuroImage
Aug 18, 2018
A large number of papers have introduced novel machine learning and feature extraction methods for automatic classification of Alzheimer's disease (AD). However, while the vast majority of these works use the public dataset ADNI for evaluation, they ...
Male
Middle Aged
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Data Interpretation, Statistical
Radiopharmaceuticals
Alzheimer Disease
Machine Learning
Female
Aged
Aged, 80 and over
Humans
Neuroimaging
Positron-Emission Tomography
Atlases as Topic
Datasets as Topic
Fluorodeoxyglucose F18
Modeling brain dynamic state changes with adaptive mixture independent component analysis.
NeuroImage
Aug 4, 2018
There is a growing interest in neuroscience in assessing the continuous, endogenous, and nonstationary dynamics of brain network activity supporting the fluidity of human cognition and behavior. This non-stationarity may involve ever-changing formati...
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