[HTML][HTML] AI-based derivation of atrial fibrillation phenotypes in the general and critical care populations

RAA Bellfield, I Olier, R Lotto, I Jones, EA Dawson… - …, 2024 - thelancet.com
Background Atrial fibrillation (AF) is the most common heart arrhythmia worldwide and is
linked to a higher risk of mortality and morbidity. To predict AF and AF-related complications …

Algebraic segmentation of short nonstationary time series based on evolutionary prediction algorithms

R Palivonaite, K Lukoseviciute, M Ragulskis - Neurocomputing, 2013 - Elsevier
Algebraic segmentation of short nonstationary time series is presented in this paper. The
proposed algorithm is based on the algebraic one step-forward predictor which is used to …

[HTML][HTML] Mapping the global free expression landscape using machine learning

S Ortega-Martorell, RAA Bellfield, S Harrison… - SN Applied …, 2023 - Springer
Freedom of expression is a core human right, yet the forces that seek to suppress it have
intensified, increasing the need to develop tools that can measure the rates of freedom …

[PDF][PDF] Computational Intelligence in biomedicine: Some contributions.

PJG Lisboa, A Vellido, JD Martín-Guerrero - ESANN, 2010 - Citeseer
The commodification of healthcare has led to an increasing demand for personalization of
patients' treatments. Meeting this demand requires not only the commitment of abundant …

[HTML][HTML] Linking motor-related brain potentials and velocity profiles in multi-joint arm reaching movements

JL Amengual, J Marco-Pallarés, C Grau… - Frontiers in human …, 2014 - frontiersin.org
The study of the movement related brain potentials (MRPBs) needs accurate technical
approaches to disentangle the specific patterns of bran activity during the preparation and …

[PDF][PDF] AI-based derivation of atrial fi brillation phenotypes in the general and critical care populations

RAA Bell, I Olier, R Lotto, I Jones, EA Dawson, G Li… - 2024 - repository.ubn.ru.nl
Background Atrial fibrillation (AF) is the most common heart arrhythmia worldwide and is
linked to a higher risk of mortality and morbidity. To predict AF and AF-related complications …

Probability ridges and distortion flows: Visualizing multivariate time series using a variational Bayesian manifold learning method

A Tosi, I Olier, A Vellido - Advances in Self-Organizing Maps and Learning …, 2014 - Springer
Time-dependent natural phenomena and artificial processes can often be quantitatively
expressed as multivariate time series (MTS). As in any other process of knowledge …

[PDF][PDF] 针刺治疗结合康复训练治疗脑卒中后吞咽障碍临床分析

易建滨 - 河北医科大学学报, 2013 - xuebao.hebmu.edu.cn
目的观察针刺联合康复训练对脑卒中后吞咽障碍的临床疗效. 方法将符合入选标准的脑卒中后
吞咽障碍患者120 例随机分入试验组和康复组, 每组60 例, 康复组进行常规康复训练 …

Data Visualization & clustering: Generative topographic mapping similarity assessment allied to graph theory clustering

MS Escobar, H Kaneko, K Funatsu - Frontiers in Molecular Design …, 2016 - ACS Publications
Chemical systems can be discriminated in several ways. If one considers industrial data,
process monitoring of chemical processes can be achieved, with the following applications …

Machine Learning Applied to Neuroreabilitation: A Systematic Mapping

FG Fernandes, EM de Santana - Journal on Advances in …, 2020 - revista.univem.edu.br
Abstract Machine learning and recommendation systems are tools used to improve the
search indices of the most relevant items in large amounts of data that can be applied in the …