AIMC Topic:
Cluster Analysis

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Semantic Anomaly Detection in Medical Time Series.

Studies in health technology and informatics May 24, 2021
The main goal of this project was to define and evaluate a new unsupervised deep learning approach that can differentiate between normal and anomalous intervals of signals like the electrical activity of the heart (ECG). Denoising autoencoders based ...
Cluster Analysis Heart Spatial Analysis Semantics Neural Networks, Computer
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FS-GBDT: identification multicancer-risk module via a feature selection algorithm by integrating Fisher score and GBDT.

Briefings in bioinformatics May 20, 2021
Cancer is a highly heterogeneous disease caused by dysregulation in different cell types and tissues. However, different cancers may share common mechanisms. It is critical to identify decisive genes involved in the development and progression of can...
Gene Expression Regulation, Neoplastic Support Vector Machine Cluster Analysis Decision Trees Humans Neoplasms Gene Ontology Algorithms Gene Expression Profiling Reproducibility of Results Computational Biology
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A novel deep learning method for predictive modeling of microbiome data.

Briefings in bioinformatics May 20, 2021
With the development and decreasing cost of next-generation sequencing technologies, the study of the human microbiome has become a rapid expanding research field, which provides an unprecedented opportunity in various clinical applications such as d...
Phylogeny Deep Learning Arthritis, Rheumatoid Female Male Aging Microbiota Malawi Sex Factors Twin Studies as Topic Computational Biology Cluster Analysis Models, Biological Humans
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Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes.

Cell reports Apr 13, 2021
Although clinical and laboratory data have long been used to guide medical practice, this information is rarely integrated with multi-omic data to identify endotypes. We present Merged Affinity Network Association Clustering (MANAclust), a coding-fre...
Female Adult Asthma Male Nasal Cavity Middle Aged Gene Expression Profiling Datasets as Topic Proteomics Humans Gene Expression Regulation Precision Medicine Cluster Analysis Child, Preschool Allergens Atlases as Topic Benchmarking Unsupervised Machine Learning Child Microbiota Epigenome Feces Transcriptome Case-Control Studies Adolescent
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Tractography Processing with the Sparse Closest Point Transform.

Neuroinformatics Apr 1, 2021
We propose a novel approach for processing diffusion MRI tractography datasets using the sparse closest point transform (SCPT). Tractography enables the 3D geometry of white matter pathways to be reconstructed; however, algorithms for processing them...
Middle Aged Image Processing, Computer-Assisted Cluster Analysis Adult Male Aging White Matter Diffusion Tensor Imaging Software Algorithms Brain Female Reproducibility of Results Aged Humans Machine Learning
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Unsupervised and self-supervised deep learning approaches for biomedical text mining.

Briefings in bioinformatics Mar 22, 2021
Biomedical scientific literature is growing at a very rapid pace, which makes increasingly difficult for human experts to spot the most relevant results hidden in the papers. Automatized information extraction tools based on text mining techniques ar...
Supervised Machine Learning Cluster Analysis Neural Networks, Computer Data Mining Unsupervised Machine Learning Algorithms Deep Learning
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Regression on imperfect class labels derived by unsupervised clustering.

Briefings in bioinformatics Mar 22, 2021
Outcome regressed on class labels identified by unsupervised clustering is custom in many applications. However, it is common to ignore the misclassification of class labels caused by the learning algorithm, which potentially leads to serious bias of...
Unsupervised Machine Learning Humans Algorithms Cluster Analysis
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Emergency department frequent user subgroups: Development of an empirical, theory-grounded definition using population health data and machine learning.

Families, systems & health : the journal of collaborative family healthcare Mar 1, 2021
Frequent emergency department (ED) use has been operationalized in research, clinical practice, and policy as number of visits to the ED, despite the fact that this definition lacks empirical evidence and theoretical foundation. To date, there are no...
Humans Florida Machine Learning Grounded Theory Cluster Analysis Population Health Management Social Media Emergency Service, Hospital Patient Acceptance of Health Care
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Deep learning-based clustering approaches for bioinformatics.

Briefings in bioinformatics Jan 18, 2021
Clustering is central to many data-driven bioinformatics research and serves a powerful computational method. In particular, clustering helps at analyzing unstructured and high-dimensional data in the form of sequences, expressions, texts and images....
Deep Learning Computational Biology Cluster Analysis
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Gene Classification Based on Multi-Class SVMs with Systematic Sampling and Hierarchical Clustering (SSHC) Algorithm.

Advances in experimental medicine and biology Jan 1, 2021
The support vector machines (SVMs) is one of the machine learning algorithms with high classification accuracy. However, the support vector machine algorithm has a very high training complexity. Thus, it is not very efficient with large datasets. In ...
Support Vector Machine Cluster Analysis Gene Expression Humans Machine Learning Algorithms
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