AIMC Topic: Data Analysis

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Deep two-way matrix reordering for relational data analysis.

Neural networks : the official journal of the International Neural Network Society Dec 2, 2021
Matrix reordering is a task to permute the rows and columns of a given observed matrix such that the resulting reordered matrix shows meaningful or interpretable structural patterns. Most existing matrix reordering techniques share the common process...
Neural Networks, Computer Data Analysis
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The Future Role of High-Performance Computing in Cardiovascular Medicine and Science -Impact of Multi-Dimensional Data Analysis.

Journal of atherosclerosis and thrombosis Oct 2, 2021
Advances in High-performance computing (HPC) technology have reached the capacity to inform cardiovascular (CV) science in the realm of both inductive and constructive approaches. Clinical trials allow for the comparison of the effect of an intervent...
Precision Medicine Humans Artificial Intelligence Data Analysis
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Identifying homogeneous subgroups of patients and important features: a topological machine learning approach.

BMC bioinformatics Sep 20, 2021
BACKGROUND: This paper exploits recent developments in topological data analysis to present a pipeline for clustering based on Mapper, an algorithm that reduces complex data into a one-dimensional graph.
Data Analysis Algorithms Cluster Analysis Humans Machine Learning
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Boosting Intelligent Data Analysis in Smart Sensors by Integrating Knowledge and Machine Learning.

Sensors (Basel, Switzerland) Sep 14, 2021
The presented paper proposes a hybrid neural architecture that enables intelligent data analysis efficacy to be boosted in smart sensor devices, which are typically resource-constrained and application-specific. The postulated concept integrates prio...
Neural Networks, Computer Data Analysis Machine Learning Neurons Recognition, Psychology
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English Feature Recognition Based on GA-BP Neural Network Algorithm and Data Mining.

Computational intelligence and neuroscience Aug 30, 2021
With the development of society and the promotion of science and technology, English, as the largest universal language in the world, is used by more and more people. In the life around us, there is information in English all the time. However, becau...
Data Mining Data Analysis Humans Algorithms Neural Networks, Computer Language
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Machine-learning model selection and parameter estimation from kinetic data of complex first-order reaction systems.

PloS one Aug 9, 2021
Dealing with a system of first-order reactions is a recurrent issue in chemometrics, especially in the analysis of data obtained by spectroscopic methods applied on complex biological systems. We argue that global multiexponential fitting, the still ...
Kinetics Flavin-Adenine Dinucleotide Machine Learning Computational Biology Software Models, Biological Bayes Theorem Data Analysis Bacteriorhodopsins Computer Simulation
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A process mining approach in big data analysis and modeling decision making risks for measuring environmental health in institutions.

Environmental research Jul 30, 2021
This paper aimed to introduce a process-mining framework for measuring the status of environmental health in institutions. The methodology developed a new software-based index namely Institutional Environmental Health Index (IEHI) that was integrated...
Data Analysis Big Data Fuzzy Logic Decision Making Environmental Health
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Exploring polypharmacy with artificial intelligence: data analysis protocol.

BMC medical informatics and decision making Jul 20, 2021
BACKGROUND: Polypharmacy is common among older adults and it represents a public health concern, due to the negative health impacts potentially associated with the use of several medications. However, the large number of medication combinations and s...
Polypharmacy Quebec Data Analysis Aged Chronic Disease Humans Artificial Intelligence
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A deep look into radiomics.

La Radiologia medica Jul 2, 2021
Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into ...
Precision Medicine Prognosis Neoplasms Data Analysis Algorithms Diagnostic Imaging Workflow Data Mining Deep Learning Consensus Genomics Humans Neural Networks, Computer Machine Learning Neuroimaging Radiology Information Systems Database Management Systems Image Interpretation, Computer-Assisted Medical Oncology
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Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study.

The Lancet. Digital health Jun 29, 2021
BACKGROUND: Early detection of postoperative complications, including organ failure, is pivotal in the initiation of targeted treatment strategies aimed at attenuating organ damage. In an era of increasing health-care costs and limited financial reso...
Male Middle Aged Risk Assessment Postoperative Complications Adolescent Risk Factors Aged Adult Retrospective Studies Female Data Analysis Biomedical Technology Area Under Curve Humans Forecasting ROC Curve Models, Biological Neural Networks, Computer Databases, Factual Data Management Postoperative Period
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